Last update:
Thu Nov 21 05:59:53 MST 2024
Jiawei Han Introduction . . . . . . . . . . . . . . 1:1--1:??
Jure Leskovec and
Jon Kleinberg and
Christos Faloutsos Graph evolution: Densification and
shrinking diameters . . . . . . . . . . 2:1--2:??
Ashwin Machanavajjhala and
Daniel Kifer and
Johannes Gehrke and
Muthuramakrishnan Venkitasubramaniam $L$-diversity: Privacy beyond
$k$-anonymity . . . . . . . . . . . . . 3:1--3:??
Aristides Gionis and
Heikki Mannila and
Panayiotis Tsaparas Clustering aggregation . . . . . . . . . 4:1--4:??
Indrajit Bhattacharya and
Lise Getoor Collective entity resolution in
relational data . . . . . . . . . . . . 5:1--5:??
Wei-Yin Loh and
Chien-Wei Chen and
Wei Zheng Extrapolation errors in linear model
trees . . . . . . . . . . . . . . . . . 6:1--6:??
Minghua Zhang and
Ben Kao and
David W. Cheung and
Kevin Y. Yip Mining periodic patterns with gap
requirement from sequences . . . . . . . 7:1--7:??
Jen-Wei Huang and
Bi-Ru Dai and
Ming-Syan Chen Twain: Two-end association miner with
precise frequent exhibition periods . . 8:1--8:??
Roberto Bayardop and
Kristin P. Bennett and
Gautam Das and
Dimitrios Gunopulos and
Johannes Gunopulos Introduction to special issue ACM SIGKDD
2006 . . . . . . . . . . . . . . . . . . 9:1--9:??
Christian Böhm and
Christos Faloutsos and
Jia-Yu Pan and
Claudia Plant RIC: Parameter-free noise-robust
clustering . . . . . . . . . . . . . . . 10:1--10:??
Qiaozhu Mei and
Dong Xin and
Hong Cheng and
Jiawei Han and
Chengxiang Zhai Semantic annotation of frequent patterns 11:1--11:??
Yehuda Koren and
Stephen C. North and
Chris Volinsky Measuring and extracting proximity
graphs in networks . . . . . . . . . . . 12:1--12:??
Alexander Ihler and
Jon Hutchins and
Padhraic Smyth Learning to detect events with
Markov-modulated Poisson processes . . . 13:1--13:??
Aristides Gionis and
Heikki Mannila and
Taneli Mielikäinen and
Panayiotis Tsaparas Assessing data mining results via swap
randomization . . . . . . . . . . . . . 14:1--14:??
Lei Tang and
Huan Liu and
Jianping Zhang and
Nitin Agarwal and
John J. Salerno Topic taxonomy adaptation for group
profiling . . . . . . . . . . . . . . . 1:1--1:??
Graham Cormode and
Flip Korn and
S. Muthukrishnan and
Divesh Srivastava Finding hierarchical heavy hitters in
streaming data . . . . . . . . . . . . . 2:1--2:??
Manas Somaiya and
Christopher Jermaine and
Sanjay Ranka Learning correlations using the
mixture-of-subsets model . . . . . . . . 3:1--3:??
M. Halkidi and
D. Gunopulos and
M. Vazirgiannis and
N. Kumar and
C. Domeniconi A clustering framework based on
subjective and objective validity
criteria . . . . . . . . . . . . . . . . 4:1--4:??
Mohammed J. Zaki and
George Karypis and
Jiong Yang and
Wei Wang Introduction to special issue on
bioinformatics . . . . . . . . . . . . . 1:1--1:??
Ying Jin and
T. M. Murali and
Naren Ramakrishnan Compositional mining of multirelational
biological datasets . . . . . . . . . . 2:1--2:??
Saurav Sahay and
Sougata Mukherjea and
Eugene Agichtein and
Ernest V. Garcia and
Shamkant B. Navathe and
Ashwin Ram Discovering semantic biomedical
relations utilizing the Web . . . . . . 3:1--3:??
Jieping Ye and
Jianhui Chen and
Ravi Janardan and
Sudhir Kumar Developmental stage annotation of
\bionameDrosophila gene expression
pattern images via an entire solution
path for LDA . . . . . . . . . . . . . . 4:1--4:??
Yijuan Lu and
Qi Tian and
Jennifer Neary and
Feng Liu and
Yufeng Wang Adaptive discriminant analysis for
microarray-based classification . . . . 5:1--5:??
Kosuke Hashimoto and
Kiyoko Flora Aoki-Kinoshita and
Nobuhisa Ueda and
Minoru Kanehisa and
Hiroshi Mamitsuka A new efficient probabilistic model for
mining labeled ordered trees applied to
glycobiology . . . . . . . . . . . . . . 6:1--6:??
Rong Ge and
Martin Ester and
Byron J. Gao and
Zengjian Hu and
Binay Bhattacharya and
Boaz Ben-Moshe Joint cluster analysis of attribute data
and relationship data: The connected
$k$-center problem, algorithms and
applications . . . . . . . . . . . . . . 7:1--7:??
Gunjan Gupta and
Joydeep Ghosh Bregman bubble clustering: a robust
framework for mining dense clusters . . 8:1--8:??
Henry Tan and
Fedja Hadzic and
Tharam S. Dillon and
Elizabeth Chang and
Ling Feng Tree model guided candidate generation
for mining frequent subtrees from XML
documents . . . . . . . . . . . . . . . 9:1--9:??
Aminul Islam and
Diana Inkpen Semantic text similarity using
corpus-based word similarity and string
similarity . . . . . . . . . . . . . . . 10:1--10:??
Jimeng Sun and
Dacheng Tao and
Spiros Papadimitriou and
Philip S. Yu and
Christos Faloutsos Incremental tensor analysis: Theory and
applications . . . . . . . . . . . . . . 11:1--11:??
Olvi L. Mangasarian and
Edward W. Wild and
Glenn M. Fung Privacy-preserving classification of
vertically partitioned data via random
kernels . . . . . . . . . . . . . . . . 12:1--12:??
Laks V. S. Lakshmanan and
Raymond T. Ng and
Ganesh Ramesh On disclosure risk analysis of
anonymized itemsets in the presence of
prior knowledge . . . . . . . . . . . . 13:1--13:??
Jaideep Vaidya and
Chris Clifton and
Murat Kantarcioglu and
A. Scott Patterson Privacy-preserving decision trees over
vertically partitioned data . . . . . . 14:1--14:??
Kun-Ta Chuang and
Hung-Leng Chen and
Ming-Syan Chen Feature-preserved sampling over
streaming data . . . . . . . . . . . . . 15:1--15:??
Daxin Jiang and
Jian Pei Mining frequent cross-graph
quasi-cliques . . . . . . . . . . . . . 16:1--16:??
Carlotta Domeniconi and
Muna Al-Razgan Weighted cluster ensembles: Methods and
analysis . . . . . . . . . . . . . . . . 17:1--17:??
Zhenjie Zhang and
Laks V. S. Lakshmanan and
Anthony K. H. Tung On domination game analysis for
microeconomic data mining . . . . . . . 18:1--18:??
Hans-Peter Kriegel and
Peer Kröger and
Arthur Zimek Clustering high-dimensional data: a
survey on subspace clustering,
pattern-based clustering, and
correlation clustering . . . . . . . . . 1:1--1:??
Amit Dhurandhar and
Alin Dobra Semi-analytical method for analyzing
models and model selection measures
based on moment analysis . . . . . . . . 2:1--2:??
Lo\"\ic Cerf and
Jérémy Besson and
Céline Robardet and
Jean-François Boulicaut Closed patterns meet $n$-ary relations 3:1--3:??
Fabrizio Angiulli and
Fabio Fassetti DOLPHIN: an efficient algorithm for
mining distance-based outliers in very
large datasets . . . . . . . . . . . . . 4:1--4:??
Bee-Chung Chen and
Raghu Ramakrishnan and
Jude W. Shavlik and
Pradeep Tamma Bellwether analysis: Searching for
cost-effective query-defined predictors
in large databases . . . . . . . . . . . 5:1--5:??
Huan Liu and
John Salerno and
Michael Young and
Rakesh Agrawal and
Philip S. Yu Introduction to special issue on social
computing, behavioral modeling, and
prediction . . . . . . . . . . . . . . . 6:1--6:??
Andrew Mehler and
Steven Skiena Expanding network communities from
representative examples . . . . . . . . 7:1--7:??
Yu-Ru Lin and
Yun Chi and
Shenghuo Zhu and
Hari Sundaram and
Belle L. Tseng Analyzing communities and their
evolutions in dynamic social networks 8:1--8:??
Masahiro Kimura and
Kazumi Saito and
Hiroshi Motoda Blocking links to minimize contamination
spread in a social network . . . . . . . 9:1--9:??
Eugene Agichtein and
Yandong Liu and
Jiang Bian Modeling information-seeker satisfaction
in community question answering . . . . 10:1--10:??
Vetle I. Torvik and
Neil R. Smalheiser Author name disambiguation in MEDLINE 11:1--11:??
Li Tu and
Yixin Chen Stream data clustering based on grid
density and attraction . . . . . . . . . 12:1--12:??
Bin Zhou and
Jian Pei Link spam target detection using page
farms . . . . . . . . . . . . . . . . . 13:1--13:??
Li Wan and
Wee Keong Ng and
Xuan Hong Dang and
Philip S. Yu and
Kuan Zhang Density-based clustering of data streams
at multiple resolutions . . . . . . . . 14:1--14:??
Heikki Mannila and
Dimitrios Gunopulos ACM TKDD special issue ACM SIGKDD 2007
and ACM SIGKDD 2008 . . . . . . . . . . 15:1--15:??
Sitaram Asur and
Srinivasan Parthasarathy and
Duygu Ucar An event-based framework for
characterizing the evolutionary behavior
of interaction graphs . . . . . . . . . 16:1--16:??
Yun Chi and
Xiaodan Song and
Dengyong Zhou and
Koji Hino and
Belle L. Tseng On evolutionary spectral clustering . . 17:1--17:??
Yasuhiro Fujiwara and
Yasushi Sakurai and
Masaru Kitsuregawa Fast likelihood search for hidden Markov
models . . . . . . . . . . . . . . . . . 18:1--18:??
Xiang Zhang and
Fei Zou and
Wei Wang Efficient algorithms for genome-wide
association study . . . . . . . . . . . 19:1--19:??
Mustafa Bilgic and
Lise Getoor Reflect and correct: a misclassification
prediction approach to active inference 20:1--20:??
Jerry Kiernan and
Evimaria Terzi Constructing comprehensive summaries of
large event sequences . . . . . . . . . 21:1--21:??
Yehuda Koren Factor in the neighbors: Scalable and
accurate collaborative filtering . . . . 1:1--1:??
Zeeshan Syed and
Collin Stultz and
Manolis Kellis and
Piotr Indyk and
John Guttag Motif discovery in physiological
datasets: a methodology for inferring
predictive elements . . . . . . . . . . 2:1--2:??
Geoffrey I. Webb Self-sufficient itemsets: an approach to
screening potentially interesting
associations between items . . . . . . . 3:1--3:??
Marc Plantevit and
Anne Laurent and
Dominique Laurent and
Maguelonne Teisseire and
Yeow Wei Choong Mining multidimensional and multilevel
sequential patterns . . . . . . . . . . 4:1--4:??
Mohammed J. Zaki and
Christopher D. Carothers and
Boleslaw K. Szymanski VOGUE: a variable order hidden Markov
model with duration based on frequent
sequence mining . . . . . . . . . . . . 5:1--5:??
Sunil Vadera CSNL: a cost-sensitive non-linear
decision tree algorithm . . . . . . . . 6:1--6:??
Vasileios Kandylas and
S. Phineas Upham and
Lyle H. Ungar Analyzing knowledge communities using
foreground and background clusters . . . 7:1--7:??
Shuiwang Ji and
Lei Tang and
Shipeng Yu and
Jieping Ye A shared-subspace learning framework for
multi-label classification . . . . . . . 8:1--8:??
Salvatore Ruggieri and
Dino Pedreschi and
Franco Turini Data mining for discrimination discovery 9:1--9:??
Lini T. Thomas and
Satyanarayana R. Valluri and
Kamalakar Karlapalem MARGIN: Maximal frequent subgraph mining 10:1--10:??
Meghana Deodhar and
Joydeep Ghosh SCOAL: a framework for simultaneous
co-clustering and learning from complex
data . . . . . . . . . . . . . . . . . . 11:1--11:??
Jinlin Chen and
Keli Xiao BISC: a bitmap itemset support counting
approach for efficient frequent itemset
mining . . . . . . . . . . . . . . . . . 12:1--12:??
Luca Becchetti and
Paolo Boldi and
Carlos Castillo and
Aristides Gionis Efficient algorithms for large-scale
local triangle counting . . . . . . . . 13:1--13:??
Yin Zhang and
Zhi-Hua Zhou Multilabel dimensionality reduction via
dependence maximization . . . . . . . . 14:1--14:??
Ying Cui and
Xiaoli Z. Fern and
Jennifer G. Dy Learning multiple nonredundant
clusterings . . . . . . . . . . . . . . 15:1--15:??
Wei Wang TKDD Special Issue: SIGKDD 2009 . . . . 16:1--16:??
Ye Chen and
Dmitry Pavlov and
John F. Canny Behavioral Targeting: The Art of Scaling
Up Simple Algorithms . . . . . . . . . . 17:1--17:??
Noman Mohammed and
Benjamin C. M. Fung and
Patrick C. K. Hung and
Cheuk-Kwong Lee Centralized and Distributed
Anonymization for High-Dimensional
Healthcare Data . . . . . . . . . . . . 18:1--18:??
Chao Liu and
Fan Guo and
Christos Faloutsos Bayesian Browsing Model: Exact Inference
of Document Relevance from
Petabyte-Scale Data . . . . . . . . . . 19:1--19:??
Mingxi Wu and
Chris Jermaine and
Sanjay Ranka and
Xiuyao Song and
John Gums A Model-Agnostic Framework for Fast
Spatial Anomaly Detection . . . . . . . 20:1--20:??
Ning Zhong and
Gregory Piatetsky-Shapiro and
Yiyu Yao and
Philip S. Yu ACM TKDD Special Issue on Knowledge
Discovery for Web Intelligence . . . . . 1:1--1:??
Jie Tang and
Limin Yao and
Duo Zhang and
Jing Zhang A Combination Approach to Web User
Profiling . . . . . . . . . . . . . . . 2:1--2:??
Mohamed Bouguessa and
Shengrui Wang and
Benoit Dumoulin Discovering Knowledge-Sharing
Communities in Question-Answering Forums 3:1--3:??
Anon Plangprasopchok and
Kristina Lerman Modeling Social Annotation: a Bayesian
Approach . . . . . . . . . . . . . . . . 4:1--4:??
Yasushi Sakurai and
Christos Faloutsos and
Spiros Papadimitriou Fast Discovery of Group Lag Correlations
in Streams . . . . . . . . . . . . . . . 5:1--5:??
Kun Liu and
Evimaria Terzi A Framework for Computing the Privacy
Scores of Users in Online Social
Networks . . . . . . . . . . . . . . . . 6:1--6:??
Jimeng Sun and
Yan Liu and
Jie Tang and
Chid Apte Introduction to Special Issue on
Large-Scale Data Mining . . . . . . . . 7:1--7:??
U. Kang and
Charalampos E. Tsourakakis and
Ana Paula Appel and
Christos Faloutsos and
Jure Leskovec HADI: Mining Radii of Large Graphs . . . 8:1--8:??
Timothy de Vries and
Hui Ke and
Sanjay Chawla and
Peter Christen Robust Record Linkage Blocking Using
Suffix Arrays and Bloom Filters . . . . 9:1--9:??
Daniel M. Dunlavy and
Tamara G. Kolda and
Evrim Acar Temporal Link Prediction Using Matrix
and Tensor Factorizations . . . . . . . 10:1--10:??
Panagis Magdalinos and
Christos Doulkeridis and
Michalis Vazirgiannis Enhancing Clustering Quality through
Landmark-Based Dimensionality Reduction 11:1--11:??
Hong Cheng and
Yang Zhou and
Jeffrey Xu Yu Clustering Large Attributed Graphs: a
Balance between Structural and Attribute
Similarities . . . . . . . . . . . . . . 12:1--12:??
Aditya Krishna Menon and
Charles Elkan Fast Algorithms for Approximating the
Singular Value Decomposition . . . . . . 13:1--13:??
Dingding Wang and
Shenghuo Zhu and
Tao Li and
Yun Chi and
Yihong Gong Integrating Document Clustering and
Multidocument Summarization . . . . . . 14:1--14:??
Marc Maier and
Matthew Rattigan and
David Jensen Indexing Network Structure with
Shortest-Path Trees . . . . . . . . . . 15:1--15:??
Raymond Chi-Wing Wong and
Ada Wai-Chee Fu and
Ke Wang and
Philip S. Yu and
Jian Pei Can the Utility of Anonymized Data be
Used for Privacy Breaches? . . . . . . . 16:1--16:??
Yu-Ru Lin and
Jimeng Sun and
Hari Sundaram and
Aisling Kelliher and
Paul Castro and
Ravi Konuru Community Discovery via Metagraph
Factorization . . . . . . . . . . . . . 17:1--17:??
Charles Elkan and
Yehuda Koren Guest Editorial for Special Issue KDD'10 18:1--18:??
Tomoharu Iwata and
Takeshi Yamada and
Yasushi Sakurai and
Naonori Ueda Sequential Modeling of Topic Dynamics
with Multiple Timescales . . . . . . . . 19:1--19:??
Seungil Huh and
Stephen E. Fienberg Discriminative Topic Modeling Based on
Manifold Learning . . . . . . . . . . . 20:1--20:??
Manuel Gomez-Rodriguez and
Jure Leskovec and
Andreas Krause Inferring Networks of Diffusion and
Influence . . . . . . . . . . . . . . . 21:1--21:??
Jianhui Chen and
Ji Liu and
Jieping Ye Learning Incoherent Sparse and Low-Rank
Patterns from Multiple Tasks . . . . . . 22:1--22:??
Hsiang-Fu Yu and
Cho-Jui Hsieh and
Kai-Wei Chang and
Chih-Jen Lin Large Linear Classification When Data
Cannot Fit in Memory . . . . . . . . . . 23:1--23:??
Dafna Shahaf and
Carlos Guestrin Connecting Two (or Less) Dots:
Discovering Structure in News Articles 24:1--24:??
Dino Ienco and
Ruggero G. Pensa and
Rosa Meo From Context to Distance: Learning
Dissimilarity for Categorical Data
Clustering . . . . . . . . . . . . . . . 1:1--1:??
Chun Li and
Qingyan Yang and
Jianyong Wang and
Ming Li Efficient Mining of Gap-Constrained
Subsequences and Its Various
Applications . . . . . . . . . . . . . . 2:1--2:??
Fei Tony Liu and
Kai Ming Ting and
Zhi-Hua Zhou Isolation-Based Anomaly Detection . . . 3:1--3:??
Yu Jin and
Nick Duffield and
Jeffrey Erman and
Patrick Haffner and
Subhabrata Sen and
Zhi-Li Zhang A Modular Machine Learning System for
Flow-Level Traffic Classification in
Large Networks . . . . . . . . . . . . . 4:1--4:??
Dimitrios Mavroeidis and
Panagis Magdalinos A Sequential Sampling Framework for
Spectral $k$-Means Based on Efficient
Bootstrap Accuracy Estimations:
Application to Distributed Clustering 5:1--5:??
Sanmay Das and
Malik Magdon-Ismail A Model for Information Growth in
Collective Wisdom Processes . . . . . . 6:1--6:??
Tianbing Xu and
Zhongfei Zhang and
Philip S. Yu and
Bo Long Generative Models for Evolutionary
Clustering . . . . . . . . . . . . . . . 7:1--7:??
Shaojun Wang and
Dale Schuurmans and
Yunxin Zhao The Latent Maximum Entropy Principle . . 8:1--8:??
Indrajit Bhattacharya and
Shantanu Godbole and
Sachindra Joshi and
Ashish Verma Cross-Guided Clustering: Transfer of
Relevant Supervision across Tasks . . . 9:1--9:??
Zhenxing Wang and
Laiwan Chan Learning Bayesian networks from Markov
random fields: an efficient algorithm
for linear models . . . . . . . . . . . 10:1--10:??
Jeffrey Chan and
James Bailey and
Christopher Leckie and
Michael Houle ciForager: Incrementally discovering
regions of correlated change in evolving
graphs . . . . . . . . . . . . . . . . . 11:1--11:??
Dingding Wang and
Shenghuo Zhu and
Tao Li and
Yihong Gong Comparative document summarization via
discriminative sentence selection . . . 12:1--12:??
Pedro O. S. Vaz de Melo and
Virgilio A. F. Almeida and
Antonio A. F. Loureiro and
Christos Faloutsos Forecasting in the NBA and other team
sports: Network effects in action . . . 13:1--13:??
Joydeep Ghosh and
Padhraic Smyth and
Andrew Tomkins and
Rich Caruana Special issue on best of SIGKDD 2011 . . 14:1--14:??
Shachar Kaufman and
Saharon Rosset and
Claudia Perlich and
Ori Stitelman Leakage in data mining: Formulation,
detection, and avoidance . . . . . . . . 15:1--15:??
Michael Mampaey and
Jilles Vreeken and
Nikolaj Tatti Summarizing data succinctly with the
most informative itemsets . . . . . . . 16:1--16:??
Shumo Chu and
James Cheng Triangle listing in massive networks . . 17:1--17:??
Rita Chattopadhyay and
Qian Sun and
Wei Fan and
Ian Davidson and
Sethuraman Panchanathan and
Jieping Ye Multisource domain adaptation and its
application to early detection of
fatigue . . . . . . . . . . . . . . . . 18:1--18:??
Leland Wilkinson and
Anushka Anand and
Tuan Nhon Dang Substantial improvements in the
set-covering projection classifier CHIRP
(composite hypercubes on iterated random
projections) . . . . . . . . . . . . . . 19:1--19:??
Fabrizio Angiulli and
Fabio Fassetti Nearest Neighbor-Based Classification of
Uncertain Data . . . . . . . . . . . . . 1:1--1:??
Dingding Wang and
Shenghuo Zhu and
Tao Li and
Yihong Gong Comparative Document Summarization via
Discriminative Sentence Selection . . . 2:1--2:??
Mohsen Bayati and
David F. Gleich and
Amin Saberi and
Ying Wang Message-Passing Algorithms for Sparse
Network Alignment . . . . . . . . . . . 3:1--3:??
Bin Li and
Steven C. H. Hoi and
Peilin Zhao and
Vivekanand Gopalkrishnan Confidence Weighted Mean Reversion
Strategy for Online Portfolio Selection 4:1--4:??
Tiancheng Lou and
Jie Tang and
John Hopcroft and
Zhanpeng Fang and
Xiaowen Ding Learning to predict reciprocity and
triadic closure in social networks . . . 5:1--5:??
Haiqin Yang and
Michael R. Lyu and
Irwin King Efficient online learning for multitask
feature selection . . . . . . . . . . . 6:1--6:??
Yu Zhang and
Dit-Yan Yeung Multilabel relationship learning . . . . 7:1--7:??
Jing Peng and
Guna Seetharaman and
Wei Fan and
Aparna Varde Exploiting Fisher and Fukunaga--Koontz
transforms in Chernoff dimensionality
reduction . . . . . . . . . . . . . . . 8:1--8:??
Deepak Agarwal and
Rich Caruana and
Jian Pei and
Ke Wang Introduction to the Special Issue ACM
SIGKDD 2012 . . . . . . . . . . . . . . 9:1--9:??
Thanawin Rakthanmanon and
Bilson Campana and
Abdullah Mueen and
Gustavo Batista and
Brandon Westover and
Qiang Zhu and
Jesin Zakaria and
Eamonn Keogh Addressing Big Data Time Series: Mining
Trillions of Time Series Subsequences
Under Dynamic Time Warping . . . . . . . 10:1--10:??
Yizhou Sun and
Brandon Norick and
Jiawei Han and
Xifeng Yan and
Philip S. Yu and
Xiao Yu PathSelClus: Integrating Meta-Path
Selection with User-Guided Object
Clustering in Heterogeneous Information
Networks . . . . . . . . . . . . . . . . 11:1--11:??
Kedar Bellare and
Suresh Iyengar and
Aditya Parameswaran and
Vibhor Rastogi Active Sampling for Entity Matching with
Guarantees . . . . . . . . . . . . . . . 12:1--12:??
Rita Chattopadhyay and
Zheng Wang and
Wei Fan and
Ian Davidson and
Sethuraman Panchanathan and
Jieping Ye Batch Mode Active Sampling Based on
Marginal Probability Distribution
Matching . . . . . . . . . . . . . . . . 13:1--13:??
Forrest Briggs and
Xiaoli Z. Fern and
Raviv Raich and
Qi Lou Instance Annotation for Multi-Instance
Multi-Label Learning . . . . . . . . . . 14:1--14:??
Ming Ji and
Binbin Lin and
Xiaofei He and
Deng Cai and
Jiawei Han Parallel Field Ranking . . . . . . . . . 15:1--15:??
Sibel Adali and
Malik Magdon-Ismail and
Xiaohui Lu iHypR: Prominence ranking in networks of
collaborations with hyperedges 1 . . . . 16:1--16:??
Jin Huang and
Feiping Nie and
Heng Huang and
Yi-Cheng Tu and
Yu Lei Social trust prediction using
heterogeneous networks . . . . . . . . . 17:1--17:??
Antonella Guzzo and
Luigi Moccia and
Domenico Sacc\`a and
Edoardo Serra Solving inverse frequent itemset mining
with infrequency constraints via
large-scale linear programs . . . . . . 18:1--18:??
José L. Balcázar Formal and computational properties of
the confidence boost of association
rules . . . . . . . . . . . . . . . . . 19:1--19:??
Hock Hee Ang and
Vivekanand Gopalkrishnan and
Steven C. H. Hoi and
Wee Keong Ng Classification in P2P networks with
cascade support vector machines . . . . 20:1--20:??
Wei Chen and
Jie Tang Introduction to special issue on
computational aspects of social and
information networks: Theory,
methodologies, and applications
(TKDD-CASIN) . . . . . . . . . . . . . . 1:1--1:??
Zhi Yang and
Christo Wilson and
Xiao Wang and
Tingting Gao and
Ben Y. Zhao and
Yafei Dai Uncovering social network Sybils in the
wild . . . . . . . . . . . . . . . . . . 2:1--2:??
Ruoming Jin and
Victor E. Lee and
Longjie Li Scalable and axiomatic ranking of
network role similarity . . . . . . . . 3:1--3:??
Julian Mcauley and
Jure Leskovec Discovering social circles in ego
networks . . . . . . . . . . . . . . . . 4:1--4:??
Bruno Abrahao and
Sucheta Soundarajan and
John Hopcroft and
Robert Kleinberg A separability framework for analyzing
community structure . . . . . . . . . . 5:1--5:??
Erheng Zhong and
Wei Fan and
Qiang Yang User behavior learning and transfer in
composite social networks . . . . . . . 6:1--6:??
Nesreen K. Ahmed and
Jennifer Neville and
Ramana Kompella Network Sampling: From Static to
Streaming Graphs . . . . . . . . . . . . 7:1--7:??
Yong Ge and
Guofei Jiang and
Min Ding and
Hui Xiong Ranking Metric Anomaly in Invariant
Networks . . . . . . . . . . . . . . . . 8:1--8:??
Gensheng Zhang and
Xiao Jiang and
Ping Luo and
Min Wang and
Chengkai Li Discovering General Prominent Streaks in
Sequence Data . . . . . . . . . . . . . 9:1--9:??
Claudio Schifanella and
K. Selçuk Candan and
Maria Luisa Sapino Multiresolution Tensor Decompositions
with Mode Hierarchies . . . . . . . . . 10:1--10:??
Jin Huang and
Feiping Nie and
Heng Huang and
Chris Ding Robust Manifold Nonnegative Matrix
Factorization . . . . . . . . . . . . . 11:1--11:??
Yu Zhang and
Dit-Yan Yeung A Regularization Approach to Learning
Task Relationships in Multitask Learning 12:1--12:??
Ming Lin and
Shifeng Weng and
Changshui Zhang On the Sample Complexity of Random
Fourier Features for Online Learning:
How Many Random Fourier Features Do We
Need? . . . . . . . . . . . . . . . . . 13:1--13:??
Ron Eyal and
Avi Rosenfeld and
Sigal Sina and
Sarit Kraus Predicting and Identifying Missing Node
Information in Social Networks . . . . . 14:1--14:??
Geoffrey I. Webb and
Jilles Vreeken Efficient Discovery of the Most
Interesting Associations . . . . . . . . 15:1--15:??
Asaf Shabtai and
Maya Bercovitch and
Lior Rokach and
Yuval Elovici Optimizing Data Misuse Detection . . . . 16:1--16:??
José Hernández-Orallo Probabilistic Reframing for
Cost-Sensitive Regression . . . . . . . 17:1--17:??
Pauli Miettinen and
Jilles Vreeken MDL4BMF: Minimum Description Length for
Boolean Matrix Factorization . . . . . . 18:1--18:??
Jiliang Tang and
Huan Liu Feature Selection for Social Media Data 19:1--19:??
Matteo Riondato and
Eli Upfal Efficient Discovery of Association Rules
and Frequent Itemsets through Sampling
with Tight Performance Guarantees . . . 20:1--20:??
Scott H. Burton and
Christophe G. Giraud-Carrier Discovering Social Circles in Directed
Graphs . . . . . . . . . . . . . . . . . 21:1--21:??
Saurabh Paul and
Christos Boutsidis and
Malik Magdon-Ismail and
Petros Drineas Random Projections for Linear Support
Vector Machines . . . . . . . . . . . . 22:1--22:??
Dóra Erd\Hos and
Rainer Gemulla and
Evimaria Terzi Reconstructing Graphs from Neighborhood
Data . . . . . . . . . . . . . . . . . . 23:1--23:??
Ayan Acharya and
Eduardo R. Hruschka and
Joydeep Ghosh and
Sreangsu Acharyya An Optimization Framework for Combining
Ensembles of Classifiers and Clusterers
with Applications to Nontransductive
Semisupervised Learning and Transfer
Learning . . . . . . . . . . . . . . . . 1:1--1:??
Arnold P. Boedihardjo and
Chang-Tien Lu and
Bingsheng Wang A Framework for Exploiting Local
Information to Enhance Density
Estimation of Data Streams . . . . . . . 2:1--2:??
Carlos Ordonez and
Carlos Garcia-Alvarado and
Veerabhadaran Baladandayuthapani Bayesian Variable Selection in Linear
Regression in One Pass for Large
Datasets . . . . . . . . . . . . . . . . 3:1--3:??
Hongliang Fei and
Jun Huan Structured Sparse Boosting for Graph
Classification . . . . . . . . . . . . . 4:1--4:??
Zhiqiang Xu and
Yiping Ke and
Yi Wang and
Hong Cheng and
James Cheng GBAGC: a General Bayesian Framework for
Attributed Graph Clustering . . . . . . 5:1--5:??
Michele Coscia and
Giulio Rossetti and
Fosca Giannotti and
Dino Pedreschi Uncovering Hierarchical and Overlapping
Communities with a Local-First Approach 6:1--6:??
Guangtao Wang and
Qinbao Song and
Xueying Zhang and
Kaiyuan Zhang A Generic Multilabel Learning-Based
Classification Algorithm Recommendation
Method . . . . . . . . . . . . . . . . . 7:1--7:??
Pinghui Wang and
John C. S. Lui and
Bruno Ribeiro and
Don Towsley and
Junzhou Zhao and
Xiaohong Guan Efficiently Estimating Motif Statistics
of Large Networks . . . . . . . . . . . 8:1--8:??
Li Zheng and
Tao Li and
Chris Ding A Framework for Hierarchical Ensemble
Clustering . . . . . . . . . . . . . . . 9:1--9:??
Baoxing Huai and
Enhong Chen and
Hengshu Zhu and
Hui Xiong and
Tengfei Bao and
Qi Liu and
Jilei Tian Toward Personalized Context Recognition
for Mobile Users: a Semisupervised
Bayesian HMM Approach . . . . . . . . . 10:1--10:??
Siyuan Liu and
Lei Chen and
Lionel M. Ni Anomaly Detection from Incomplete Data 11:1--11:??
Pritam Gundecha and
Geoffrey Barbier and
Jiliang Tang and
Huan Liu User Vulnerability and Its Reduction on
a Social Networking Site . . . . . . . . 12:1--12:??
Lian Duan and
W. Nick Street and
Yanchi Liu and
Songhua Xu and
Brook Wu Selecting the Right Correlation Measure
for Binary Data . . . . . . . . . . . . 13:1--13:??
Hao Huang and
Hong Qin and
Shinjae Yoo and
Dantong Yu Physics-Based Anomaly Detection Defined
on Manifold Space . . . . . . . . . . . 14:1--14:??
Aristides Gionis and
Hang Li Introduction to the Special Issue ACM
SIGKDD 2013 . . . . . . . . . . . . . . 15:1--15:??
Madhav Jha and
C. Seshadhri and
Ali Pinar A Space-Efficient Streaming Algorithm
for Estimating Transitivity and Triangle
Counts Using the Birthday Paradox . . . 15:1--15:??
Lu-An Tang and
Xiao Yu and
Quanquan Gu and
Jiawei Han and
Guofei Jiang and
Alice Leung and
Thomas La Porta A Framework of Mining Trajectories from
Untrustworthy Data in Cyber-Physical
System . . . . . . . . . . . . . . . . . 16:1--16:??
Zheng Wang and
Jieping Ye Querying Discriminative and
Representative Samples for Batch Mode
Active Learning . . . . . . . . . . . . 17:1--17:??
Siddharth Gopal and
Yiming Yang Hierarchical Bayesian Inference and
Recursive Regularization for Large-Scale
Classification . . . . . . . . . . . . . 18:1--18:??
Hongzhi Yin and
Bin Cui and
Ling Chen and
Zhiting Hu and
Chengqi Zhang Modeling Location-Based User Rating
Profiles for Personalized Recommendation 19:1--19:??
Juhua Hu and
De-Chuan Zhan and
Xintao Wu and
Yuan Jiang and
Zhi-Hua Zhou Pairwised Specific Distance Learning
from Physical Linkages . . . . . . . . . 20:1--20:??
Sucheta Soundarajan and
John E. Hopcroft Use of Local Group Information to
Identify Communities in Networks . . . . 21:1--21:??
Pinghui Wang and
Junzhou Zhao and
John C. S. Lui and
Don Towsley and
Xiaohong Guan Unbiased Characterization of Node Pairs
over Large Graphs . . . . . . . . . . . 22:1--22:??
Michail Vlachos and
Johannes Schneider and
Vassilios G. Vassiliadis On Data Publishing with Clustering
Preservation . . . . . . . . . . . . . . 23:1--23:??
Pedro O. S. Vaz De Melo and
Christos Faloutsos and
Renato Assunção and
Rodrigo Alves and
Antonio A. F. Loureiro Universal and Distinct Properties of
Communication Dynamics: How to Generate
Realistic Inter-event Times . . . . . . 24:1--24:??
Jing Zhang and
Jie Tang and
Juanzi Li and
Yang Liu and
Chunxiao Xing Who Influenced You? Predicting Retweet
via Social Influence Locality . . . . . 25:1--25:??
Hong Xie and
John C. S. Lui Mathematical Modeling and Analysis of
Product Rating with Partial Information 26:1--26:??
Andrea Esuli and
Fabrizio Sebastiani Optimizing Text Quantifiers for
Multivariate Loss Functions . . . . . . 27:1--27:??
Bing-Rong Lin and
Daniel Kifer Information Measures in Statistical
Privacy and Data Processing Applications 28:1--28:??
Hao Huang and
Shinjae Yoo and
Dantong Yu and
Hong Qin Density-Aware Clustering Based on
Aggregated Heat Kernel and Its
Transformation . . . . . . . . . . . . . 29:1--29:??
Kui Yu and
Wei Ding and
Dan A. Simovici and
Hao Wang and
Jian Pei and
Xindong Wu Classification with Streaming Features:
an Emerging-Pattern Mining Approach . . 30:1--30:??
Guimei Liu and
Haojun Zhang and
Mengling Feng and
Limsoon Wong and
See-Kiong Ng Supporting Exploratory Hypothesis
Testing and Analysis . . . . . . . . . . 31:1--31:??
Gianluigi Greco and
Antonella Guzzo and
Francesco Lupia and
Luigi Pontieri Process Discovery under Precedence
Constraints . . . . . . . . . . . . . . 32:1--32:??
Nima Mirbakhsh and
Charles X. Ling Improving Top-$N$ Recommendation for
Cold-Start Users via Cross-Domain
Information . . . . . . . . . . . . . . 33:1--33:??
Francesco Bonchi and
Aristides Gionis and
Francesco Gullo and
Charalampos E. Tsourakakis and
Antti Ukkonen Chromatic Correlation Clustering . . . . 34:1--34:??
Hua Wang and
Feiping Nie and
Heng Huang Large-Scale Cross-Language Web Page
Classification via Dual Knowledge
Transfer Using Fast Nonnegative Matrix
Trifactorization . . . . . . . . . . . . 1:1--1:??
Yang Zhou and
Ling Liu Social Influence Based Clustering and
Optimization over Heterogeneous
Information Networks . . . . . . . . . . 2:1--2:??
Evangelos E. Papalexakis and
Christos Faloutsos and
Nicholas D. Sidiropoulos ParCube: Sparse Parallelizable
CANDECOMP--PARAFAC Tensor Decomposition 3:1--3:??
Rezwan Ahmed and
George Karypis Algorithms for Mining the Coevolving
Relational Motifs in Dynamic Networks 4:1--4:??
Ricardo J. G. B. Campello and
Davoud Moulavi and
Arthur Zimek and
Jörg Sander Hierarchical Density Estimates for Data
Clustering, Visualization, and Outlier
Detection . . . . . . . . . . . . . . . 5:1--5:??
Giacomo Berardi and
Andrea Esuli and
Fabrizio Sebastiani Utility-Theoretic Ranking for
Semiautomated Text Classification . . . 6:1--6:??
Zhiwen Yu and
Zhu Wang and
Huilei He and
Jilei Tian and
Xinjiang Lu and
Bin Guo Discovering Information Propagation
Patterns in Microblogging Services . . . 7:1--7:??
Xianchao Zhang and
Xiaotong Zhang and
Han Liu Smart Multitask Bregman Clustering and
Multitask Kernel Clustering . . . . . . 8:1--8:??
Wei Wei and
Kathleen M. Carley Measuring Temporal Patterns in Dynamic
Social Networks . . . . . . . . . . . . 9:1--9:??
Siyuan Liu and
Qiang Qu and
Shuhui Wang Rationality Analytics from Trajectories 10:1--10:??
Adele Lu Jia and
Siqi Shen and
Ruud Van De Bovenkamp and
Alexandru Iosup and
Fernando Kuipers and
Dick H. J. Epema Socializing by Gaming: Revealing Social
Relationships in Multiplayer Online
Games . . . . . . . . . . . . . . . . . 11:1--11:??
Manos Papagelis Refining Social Graph Connectivity via
Shortcut Edge Addition . . . . . . . . . 12:1--12:??
Liang Hong and
Lei Zou and
Cheng Zeng and
Luming Zhang and
Jian Wang and
Jilei Tian Context-Aware Recommendation Using
Role-Based Trust Network . . . . . . . . 13:1--13:??
Lei Zhang and
Ping Luo and
Linpeng Tang and
Enhong Chen and
Qi Liu and
Min Wang and
Hui Xiong Occupancy-Based Frequent Pattern Mining 14:1--14:??
Hung-Hsuan Chen and
C. Lee Giles ASCOS++: an Asymmetric Similarity
Measure for Weighted Networks to Address
the Problem of SimRank . . . . . . . . . 15:1--15:??
Reza Zafarani and
Lei Tang and
Huan Liu User Identification Across Social Media 16:1--16:??
Lei Li and
Wei Peng and
Saurabh Kataria and
Tong Sun and
Tao Li Recommending Users and Communities in
Social Media . . . . . . . . . . . . . . 17:1--17:??
Rose Yu and
Xinran He and
Yan Liu GLAD: Group Anomaly Detection in Social
Media Analysis . . . . . . . . . . . . . 18:1--18:??
Aniket Chakrabarti and
Venu Satuluri and
Atreya Srivathsan and
Srinivasan Parthasarathy A Bayesian Perspective on Locality
Sensitive Hashing with Extensions for
Kernel Methods . . . . . . . . . . . . . 19:1--19:??
Yao Zhang and
B. Aditya Prakash Data-Aware Vaccine Allocation Over Large
Networks . . . . . . . . . . . . . . . . 20:1--20:??
Matthew Rowe Mining User Development Signals for
Online Community Churner Detection . . . 21:1--21:??
Arnau Prat-Pérez and
David Dominguez-Sal and
Josep-M. Brunat and
Josep-Lluis Larriba-Pey Put Three and Three Together:
Triangle-Driven Community Detection . . 22:1--22:??
Zhen Guo and
Zhongfei (Mark) Zhang and
Eric P. Xing and
Christos Faloutsos Multimodal Data Mining in a Multimedia
Database Based on Structured Max Margin
Learning . . . . . . . . . . . . . . . . 23:1--23:??
Risa B. Myers and
John C. Frenzel and
Joseph R. Ruiz and
Christopher M. Jermaine Do Anesthesiologists Know What They Are
Doing? Mining a Surgical Time-Series
Database to Correlate Expert Assessment
with Outcomes . . . . . . . . . . . . . 24:1--24:??
Galileo Mark Namata and
Ben London and
Lise Getoor Collective Graph Identification . . . . 25:1--25:??
Karthik Subbian and
Charu Aggarwal and
Jaideep Srivastava Mining Influencers Using Information
Flows in Social Streams . . . . . . . . 26:1--26:??
Fabrizio Angiulli and
Fabio Fassetti Toward Generalizing the Unification with
Statistical Outliers: The Gradient
Outlier Factor Measure . . . . . . . . . 27:1--27:??
Danai Koutra and
Neil Shah and
Joshua T. Vogelstein and
Brian Gallagher and
Christos Faloutsos DeltaCon: Principled Massive-Graph
Similarity Function with Attribution . . 28:1--28:??
Wayne Xin Zhao and
Jinpeng Wang and
Yulan He and
Ji-Rong Wen and
Edward Y. Chang and
Xiaoming Li Mining Product Adopter Information from
Online Reviews for Improving Product
Recommendation . . . . . . . . . . . . . 29:1--29:??
João Duarte and
João Gama and
Albert Bifet Adaptive Model Rules From High-Speed
Data Streams . . . . . . . . . . . . . . 30:1--30:??
Faming Lu and
Qingtian Zeng and
Hua Duan Synchronization-Core-Based Discovery of
Processes with Decomposable Cyclic
Dependencies . . . . . . . . . . . . . . 31:1--31:??
Yashu Liu and
Jie Wang and
Jieping Ye An Efficient Algorithm For Weak
Hierarchical Lasso . . . . . . . . . . . 32:1--32:??
Wei Wang and
Jure Leskovec Introduction to the Special Issue of
Best Papers in ACM SIGKDD 2014 . . . . . 33:1--33:??
Silei Xu and
John C. S. Lui Product Selection Problem: Improve
Market Share by Learning Consumer
Behavior . . . . . . . . . . . . . . . . 34:1--34:??
Meng Jiang and
Peng Cui and
Alex Beutel and
Christos Faloutsos and
Shiqiang Yang Catching Synchronized Behaviors in Large
Networks: a Graph Mining Approach . . . 35:1--35:??
Ying Wei and
Yangqiu Song and
Yi Zhen and
Bo Liu and
Qiang Yang Heterogeneous Translated Hashing: a
Scalable Solution Towards Multi-Modal
Similarity Search . . . . . . . . . . . 36:1--36:??
Hanghang Tong and
Fei Wang and
Munmun De Choudhury and
Zoran Obradovic Guest Editorial: Special Issue on
Connected Health at Big Data Era
(BigChat): a TKDD Special Issue . . . . 37:1--37:??
Feiyu Xiong and
Moshe Kam and
Leonid Hrebien and
Beilun Wang and
Yanjun Qi Kernelized Information-Theoretic Metric
Learning for Cancer Diagnosis Using
High-Dimensional Molecular Profiling
Data . . . . . . . . . . . . . . . . . . 38:1--38:??
Pei Yang and
Hongxia Yang and
Haoda Fu and
Dawei Zhou and
Jieping Ye and
Theodoros Lappas and
Jingrui He Jointly Modeling Label and Feature
Heterogeneity in Medical Informatics . . 39:1--39:??
Yubao Wu and
Xiaofeng Zhu and
Li Li and
Wei Fan and
Ruoming Jin and
Xiang Zhang Mining Dual Networks: Models,
Algorithms, and Applications . . . . . . 40:1--40:??
Licong Cui and
Shiqiang Tao and
Guo-Qiang Zhang Biomedical Ontology Quality Assurance
Using a Big Data Approach . . . . . . . 41:1--41:??
Shebuti Rayana and
Leman Akoglu Less is More: Building Selective Anomaly
Ensembles . . . . . . . . . . . . . . . 42:1--42:??
Yada Zhu and
Jingrui He Co-Clustering Structural Temporal Data
with Applications to Semiconductor
Manufacturing . . . . . . . . . . . . . 43:1--43:??
Maryam Tahani and
Ali M. A. Hemmatyar and
Hamid R. Rabiee and
Maryam Ramezani Inferring Dynamic Diffusion Networks in
Online Media . . . . . . . . . . . . . . 44:1--44:??
Yun Sing Koh and
Sri Devi Ravana Unsupervised Rare Pattern Mining: a
Survey . . . . . . . . . . . . . . . . . 45:1--45:??
Wei Cheng and
Zhishan Guo and
Xiang Zhang and
Wei Wang CGC: a Flexible and Robust Approach to
Integrating Co-Regularized Multi-Domain
Graph for Clustering . . . . . . . . . . 46:1--46:??
Chih-Ya Shen and
De-Nian Yang and
Wang-Chien Lee and
Ming-Syan Chen Spatial-Proximity Optimization for Rapid
Task Group Deployment . . . . . . . . . 47:1--47:??
Zhiwen Yu and
Zhitao Wang and
Liming Chen and
Bin Guo and
Wenjie Li Featuring, Detecting, and Visualizing
Human Sentiment in Chinese Micro-Blog 48:1--48:??
Chen Chen and
Hanghang Tong and
B. Aditya Prakash and
Tina Eliassi-Rad and
Michalis Faloutsos and
Christos Faloutsos Eigen-Optimization on Large Graphs by
Edge Manipulation . . . . . . . . . . . 49:1--49:??
Zhiwen Yu and
Miao Tian and
Zhu Wang and
Bin Guo and
Tao Mei Shop-Type Recommendation Leveraging the
Data from Social Media and
Location-Based Services . . . . . . . . 1:1--1:??
Luke K. McDowell and
David W. Aha Leveraging Neighbor Attributes for
Classification in Sparsely Labeled
Networks . . . . . . . . . . . . . . . . 2:1--2:??
Xiaojun Chang and
Feiping Nie and
Yi Yang and
Chengqi Zhang and
Heng Huang Convex Sparse PCA for Unsupervised
Feature Learning . . . . . . . . . . . . 3:1--3:??
Ou Wu and
Qiang You and
Fen Xia and
Lei Ma and
Weiming Hu Listwise Learning to Rank from Crowds 4:1--4:??
Junming Shao and
Qinli Yang and
Hoang-Vu Dang and
Bertil Schmidt and
Stefan Kramer Scalable Clustering by Iterative
Partitioning and Point Attractor
Representation . . . . . . . . . . . . . 5:1--5:??
Josif Grabocka and
Nicolas Schilling and
Lars Schmidt-Thieme Latent Time-Series Motifs . . . . . . . 6:1--6:??
Xianchao Zhang and
Linlin Zong and
Quanzeng You and
Xing Yong Sampling for Nyström Extension-Based
Spectral Clustering: Incremental
Perspective and Novel Analysis . . . . . 7:1--7:??
Maoying Qiao and
Richard Yi Da Xu and
Wei Bian and
Dacheng Tao Fast Sampling for Time-Varying
Determinantal Point Processes . . . . . 8:1--8:??
Pierluigi Crescenzi and
Gianlorenzo D'angelo and
Lorenzo Severini and
Yllka Velaj Greedily Improving Our Own Closeness
Centrality in a Network . . . . . . . . 9:1--9:??
Xiang Li and
Charles X. Ling and
Huaimin Wang The Convergence Behavior of Naive Bayes
on Large Sparse Datasets . . . . . . . . 10:1--10:??
Yanjie Fu and
Hui Xiong and
Yong Ge and
Yu Zheng and
Zijun Yao and
Zhi-Hua Zhou Modeling of Geographic Dependencies for
Real Estate Ranking . . . . . . . . . . 11:1--11:??
Zekai J. Gao and
Chris Jermaine Distributed Algorithms for Computing
Very Large Thresholded Covariance
Matrices . . . . . . . . . . . . . . . . 12:1--12:??
Chenguang Wang and
Yangqiu Song and
Dan Roth and
Ming Zhang and
Jiawei Han World Knowledge as Indirect Supervision
for Document Clustering . . . . . . . . 13:1--13:??
Tanmoy Chakraborty and
Sriram Srinivasan and
Niloy Ganguly and
Animesh Mukherjee and
Sanjukta Bhowmick Permanence and Community Structure in
Complex Networks . . . . . . . . . . . . 14:1--14:??
Laura M. Smith and
Linhong Zhu and
Kristina Lerman and
Allon G. Percus Partitioning Networks with Node
Attributes by Compressing Information
Flow . . . . . . . . . . . . . . . . . . 15:1--15:??
Kui Yu and
Xindong Wu and
Wei Ding and
Jian Pei Scalable and Accurate Online Feature
Selection for Big Data . . . . . . . . . 16:1--16:??
Bin Liu and
Yao Wu and
Neil Zhenqiang Gong and
Junjie Wu and
Hui Xiong and
Martin Ester Structural Analysis of User Choices for
Mobile App Recommendation . . . . . . . 17:1--17:??
Foto Afrati and
Shlomi Dolev and
Ephraim Korach and
Shantanu Sharma and
Jeffrey D. Ullman Assignment Problems of Different-Sized
Inputs in MapReduce . . . . . . . . . . 18:1--18:??
Zhongyuan Wang and
Fang Wang and
Haixun Wang and
Zhirui Hu and
Jun Yan and
Fangtao Li and
Ji-Rong Wen and
Zhoujun Li Unsupervised Head-Modifier Detection in
Search Queries . . . . . . . . . . . . . 19:1--19:??
Yi Chang and
Makoto Yamada and
Antonio Ortega and
Yan Liu Lifecycle Modeling for Buzz Temporal
Pattern Discovery . . . . . . . . . . . 20:1--20:??
Qiang Wei and
Dandan Qiao and
Jin Zhang and
Guoqing Chen and
Xunhua Guo A Novel Bipartite Graph Based
Competitiveness Degree Analysis from
Query Logs . . . . . . . . . . . . . . . 21:1--21:??
Yuanli Pei and
Xiaoli Z. Fern and
Teresa Vania Tjahja and
Rómer Rosales Comparing Clustering with Pairwise and
Relative Constraints: a Unified
Framework . . . . . . . . . . . . . . . 22:1--22:??
Carlos Lorenzetti and
Ana Maguitman and
David Leake and
Filippo Menczer and
Thomas Reichherzer Mining for Topics to Suggest Knowledge
Model Extensions . . . . . . . . . . . . 23:1--23:??
Dheeraj Kumar and
James C. Bezdek and
Sutharshan Rajasegarar and
Marimuthu Palaniswami and
Christopher Leckie and
Jeffrey Chan and
Jayavardhana Gubbi Adaptive Cluster Tendency Visualization
and Anomaly Detection for Streaming Data 24:1--24:??
Wen-Yuan Zhu and
Wen-Chih Peng and
Ling-Jyh Chen and
Kai Zheng and
Xiaofang Zhou Exploiting Viral Marketing for Location
Promotion in Location-Based Social
Networks . . . . . . . . . . . . . . . . 25:1--25:??
Ahmet Erdem Sariyüce and
Kamer Kaya and
Erik Saule and
Ümit V. Çatalyürek Graph Manipulations for Fast Centrality
Computation . . . . . . . . . . . . . . 26:1--26:??
Polina Rozenshtein and
Nikolaj Tatti and
Aristides Gionis Finding Dynamic Dense Subgraphs . . . . 27:1--27:??
Guannan Liu and
Yanjie Fu and
Guoqing Chen and
Hui Xiong and
Can Chen Modeling Buying Motives for Personalized
Product Bundle Recommendation . . . . . 28:1--28:??
Ting Guo and
Jia Wu and
Xingquan Zhu and
Chengqi Zhang Combining Structured Node Content and
Topology Information for Networked Graph
Clustering . . . . . . . . . . . . . . . 29:1--29:??
Qi Liu and
Biao Xiang and
Nicholas Jing Yuan and
Enhong Chen and
Hui Xiong and
Yi Zheng and
Yu Yang An Influence Propagation View of
PageRank . . . . . . . . . . . . . . . . 30:1--30:??
Sen Wang and
Xue Li and
Xiaojun Chang and
Lina Yao and
Quan Z. Sheng and
Guodong Long Learning Multiple Diagnosis Codes for
ICU Patients with Local Disease
Correlation Mining . . . . . . . . . . . 31:1--31:??
Seung-Hee Bae and
Daniel Halperin and
Jevin D. West and
Martin Rosvall and
Bill Howe Scalable and Efficient Flow-Based
Community Detection for Large-Scale
Graph Analysis . . . . . . . . . . . . . 32:1--32:??
Chong Peng and
Zhao Kang and
Yunhong Hu and
Jie Cheng and
Qiang Cheng Robust Graph Regularized Nonnegative
Matrix Factorization for Clustering . . 33:1--33:??
Xun Tang and
Maha Alabduljalil and
Xin Jin and
Tao Yang Partitioned Similarity Search with
Cache-Conscious Data Traversal . . . . . 34:1--34:??
Shanshan Feng and
Jian Cao and
Jie Wang and
Shiyou Qian Recommendations Based on Comprehensively
Exploiting the Latent Factors Hidden in
Items' Ratings and Content . . . . . . . 35:1--35:??
Xutong Liu and
Feng Chen and
Yen-Cheng Lu and
Chang-Tien Lu Spatial Prediction for Multivariate
Non-Gaussian Data . . . . . . . . . . . 36:1--36:??
Liang Wang and
Zhiwen Yu and
Bin Guo and
Tao Ku and
Fei Yi Moving Destination Prediction Using
Sparse Dataset: a Mobility Gradient
Descent Approach . . . . . . . . . . . . 37:1--37:??
Kimon Fountoulakis and
Abhisek Kundu and
Eugenia-Maria Kontopoulou and
Petros Drineas A Randomized Rounding Algorithm for
Sparse PCA . . . . . . . . . . . . . . . 38:1--38:??
Charu C. Aggarwal Introduction to Special Issue on the
Best Papers from KDD 2016 . . . . . . . 39:1--39:??
Wei Cheng and
Jingchao Ni and
Kai Zhang and
Haifeng Chen and
Guofei Jiang and
Yu Shi and
Xiang Zhang and
Wei Wang Ranking Causal Anomalies for System
Fault Diagnosis via Temporal and
Dynamical Analysis on Vanishing
Correlations . . . . . . . . . . . . . . 40:1--40:??
Tianyang Zhang and
Peng Cui and
Christos Faloutsos and
Yunfei Lu and
Hao Ye and
Wenwu Zhu and
Shiqiang Yang comeNgo: a Dynamic Model for Social
Group Evolution . . . . . . . . . . . . 41:1--41:??
Chen Chen and
Hanghang Tong and
Lei Xie and
Lei Ying and
Qing He Cross-Dependency Inference in
Multi-Layered Networks: a Collaborative
Filtering Perspective . . . . . . . . . 42:1--42:??
Lorenzo De Stefani and
Alessandro Epasto and
Matteo Riondato and
Eli Upfal TRI\`EST: Counting Local and Global
Triangles in Fully Dynamic Streams with
Fixed Memory Size . . . . . . . . . . . 43:1--43:??
Bryan Hooi and
Kijung Shin and
Hyun Ah Song and
Alex Beutel and
Neil Shah and
Christos Faloutsos Graph-Based Fraud Detection in the Face
of Camouflage . . . . . . . . . . . . . 44:1--44:??
Ashton Anderson and
Jon Kleinberg and
Sendhil Mullainathan Assessing Human Error Against a
Benchmark of Perfection . . . . . . . . 45:1--45:??
Yihan Wang and
Shaoxu Song and
Lei Chen and
Jeffrey Xu Yu and
Hong Cheng Discovering Conditional Matching Rules 46:1--46:??
Christos Anagnostopoulos and
Peter Triantafillou Query-Driven Learning for Predictive
Analytics of Data Subspace Cardinality 47:1--47:??
Yue Wu and
Steven C. H. Hoi and
Tao Mei and
Nenghai Yu Large-Scale Online Feature Selection for
Ultra-High Dimensional Sparse Data . . . 48:1--48:??
Alceu Ferraz Costa and
Yuto Yamaguchi and
Agma Juci Machado Traina and
Caetano Traina Jr. and
Christos Faloutsos Modeling Temporal Activity to Detect
Anomalous Behavior in Social Media . . . 49:1--49:??
Soroush Vosoughi and
Mostafa `Neo' Mohsenvand and
Deb Roy Rumor Gauge: Predicting the Veracity of
Rumors on Twitter . . . . . . . . . . . 50:1--50:??
Oualid Boutemine and
Mohamed Bouguessa Mining Community Structures in
Multidimensional Networks . . . . . . . 51:1--51:??
Essam Algizawy and
Tetsuji Ogawa and
Ahmed El-Mahdy Real-Time Large-Scale Map Matching Using
Mobile Phone Data . . . . . . . . . . . 52:1--52:??
Matthijs van Leeuwen and
Polo Chau and
Jilles Vreeken and
Dafna Shahaf and
Christos Faloutsos Editorial: TKDD Special Issue on
Interactive Data Exploration and
Analytics . . . . . . . . . . . . . . . 1:1--1:??
Frédéric Rayar and
Sabine Barrat and
Fatma Bouali and
Gilles Venturini A Viewable Indexing Structure for the
Interactive Exploration of Dynamic and
Large Image Collections . . . . . . . . 2:1--2:??
Raheleh Makki and
Eder Carvalho and
Axel J. Soto and
Stephen Brooks and
Maria Cristina Ferreira De Oliveira and
Evangelos Milios and
Rosane Minghim ATR-Vis: Visual and Interactive
Information Retrieval for Parliamentary
Discussions in Twitter . . . . . . . . . 3:1--3:??
Yongsub Lim and
Minsoo Jung and
U. Kang Memory-Efficient and Accurate Sampling
for Counting Local Triangles in Graph
Streams: From Simple to Multigraphs . . 4:1--4:??
Lei Shi and
Hanghang Tong and
Madelaine Daianu and
Feng Tian and
Paul M. Thompson Visual Analysis of Brain Networks Using
Sparse Regression Models . . . . . . . . 5:1--5:??
Esther Galbrun and
Pauli Miettinen Mining Redescriptions with Siren . . . . 6:1--6:??
Hao Wu and
Maoyuan Sun and
Peng Mi and
Nikolaj Tatti and
Chris North and
Naren Ramakrishnan Interactive Discovery of Coordinated
Relationship Chains with Maximum Entropy
Models . . . . . . . . . . . . . . . . . 7:1--7:??
Jaegul Choo and
Hannah Kim and
Edward Clarkson and
Zhicheng Liu and
Changhyun Lee and
Fuxin Li and
Hanseung Lee and
Ramakrishnan Kannan and
Charles D. Stolper and
John Stasko and
Haesun Park VisIRR: a Visual Analytics System for
Information Retrieval and Recommendation
for Large-Scale Document Data . . . . . 8:1--8:??
Niranjan Kamat and
Arnab Nandi A Session-Based Approach to
Fast-But-Approximate Interactive Data
Cube Exploration . . . . . . . . . . . . 9:1--9:??
Pavel Senin and
Jessica Lin and
Xing Wang and
Tim Oates and
Sunil Gandhi and
Arnold P. Boedihardjo and
Crystal Chen and
Susan Frankenstein GrammarViz 3.0: Interactive Discovery of
Variable-Length Time Series Patterns . . 10:1--10:??
Srayan Datta and
Eytan Adar CommunityDiff: Visualizing Community
Clustering Algorithms . . . . . . . . . 11:1--11:??
Yang Yang and
Jie Tang and
Juanzi Li Learning to Infer Competitive
Relationships in Heterogeneous Networks 12:1--12:??
Boyue Wang and
Yongli Hu and
Junbin Gao and
Yanfeng Sun and
Baocai Yin Partial Sum Minimization of Singular
Values Representation on Grassmann
Manifolds . . . . . . . . . . . . . . . 13:1--13:??
Edgar S. García Treviño and
Muhammad Zaid Hameed and
Javier A. Barria Data Stream Evolution Diagnosis Using
Recursive Wavelet Density Estimators . . 14:1--14:??
Vishal Kaushal and
Manasi Patwardhan Emerging Trends in Personality
Identification Using Online Social
Networks --- a Literature Survey . . . . 15:1--15:??
Divya Pandove and
Shivan Goel and
Rinkl Rani Systematic Review of Clustering
High-Dimensional and Large Datasets . . 16:1--16:??
Yixuan Li and
Kun He and
Kyle Kloster and
David Bindel and
John Hopcroft Local Spectral Clustering for
Overlapping Community Detection . . . . 17:1--17:??
Gianni Costa and
Riccardo Ortale Mining Overlapping Communities and Inner
Role Assignments through Bayesian
Mixed-Membership Models of Networks with
Context-Dependent Interactions . . . . . 18:1--18:??
Cheng Long and
Raymond Chi-Wing Wong and
Victor Junqiu Wei Profit Maximization with Sufficient
Customer Satisfactions . . . . . . . . . 19:1--19:??
Maryam Ramezani and
Ali Khodadadi and
Hamid R. Rabiee Community Detection Using Diffusion
Information . . . . . . . . . . . . . . 20:1--20:??
Carla-Fabiana Chiasserini and
Michel Garetto and
Emili Leonardi De-anonymizing Clustered Social Networks
by Percolation Graph Matching . . . . . 21:1--21:??
Wayne Xin Zhao and
Feifan Fan and
Ji-Rong Wen and
Edward Y. Chang Joint Representation Learning for
Location-Based Social Networks with
Multi-Grained Sequential Contexts . . . 22:1--22:??
Guang-Neng Hu and
Xin-Yu Dai and
Feng-Yu Qiu and
Rui Xia and
Tao Li and
Shu-Jian Huang and
Jia-Jun Chen Collaborative Filtering with Topic and
Social Latent Factors Incorporating
Implicit Feedback . . . . . . . . . . . 23:1--23:??
Bryan Perozzi and
Leman Akoglu Discovering Communities and Anomalies in
Attributed Graphs: Interactive Visual
Exploration and Summarization . . . . . 24:1--24:??
Hamed R. Bonab and
Fazli Can GOOWE: Geometrically Optimum and
Online-Weighted Ensemble Classifier for
Evolving Data Streams . . . . . . . . . 25:1--25:??
Hong Xie and
Richard T. B. Ma and
John C. S. Lui Enhancing Reputation via Price Discounts
in E-Commerce Systems: a Data-Driven
Approach . . . . . . . . . . . . . . . . 26:1--26:??
Loris Belcastro and
Fabrizio Marozzo and
Domenico Talia and
Paolo Trunfio G-RoI: Automatic Region-of-Interest
Detection Driven by Geotagged Social
Media Data . . . . . . . . . . . . . . . 27:1--27:??
Kijung Shin and
Bryan Hooi and
Christos Faloutsos Fast, Accurate, and Flexible Algorithms
for Dense Subtensor Mining . . . . . . . 28:1--28:??
Jiongqian Liang and
Deepak Ajwani and
Patrick K. Nicholson and
Alessandra Sala and
Srinivasan Parthasarathy Prioritized Relationship Analysis in
Heterogeneous Information Networks . . . 29:1--29:??
Hong Huang and
Yuxiao Dong and
Jie Tang and
Hongxia Yang and
Nitesh V. Chawla and
Xiaoming Fu Will Triadic Closure Strengthen Ties in
Social Networks? . . . . . . . . . . . . 30:1--30:??
Guangyong Chen and
Fengyuan Zhu and
Pheng Ann Heng Large-Scale Bayesian Probabilistic
Matrix Factorization with Memo-Free
Distributed Variational Inference . . . 31:1--31:??
Sheng Li and
Ming Shao and
Yun Fu Multi-View Low-Rank Analysis with
Applications to Outlier Detection . . . 32:1--32:??
Yasser Altowim and
Dmitri V. Kalashnikov and
Sharad Mehrotra ProgressER: Adaptive Progressive
Approach to Relational Entity Resolution 33:1--33:??
Jordan Bakerman and
Karl Pazdernik and
Alyson Wilson and
Geoffrey Fairchild and
Rian Bahran Twitter Geolocation: a Hybrid Approach 34:1--34:??
Sebastian Moreno and
Jennifer Neville and
Sergey Kirshner Tied Kronecker Product Graph Models to
Capture Variance in Network Populations 35:1--35:??
Pei Yang and
Qi Tan and
Jingrui He Function-on-Function Regression with
Mode-Sparsity Regularization . . . . . . 36:1--36:??
Ali Khodadadi and
Seyed Abbas Hosseini and
Erfan Tavakoli and
Hamid R. Rabiee Continuous-Time User Modeling in
Presence of Badges: a Probabilistic
Approach . . . . . . . . . . . . . . . . 37:1--37:??
Min Peng and
Jiahui Zhu and
Hua Wang and
Xuhui Li and
Yanchun Zhang and
Xiuzhen Zhang and
Gang Tian Mining Event-Oriented Topics in
Microblog Stream with Unsupervised
Multi-View Hierarchical Embedding . . . 38:1--38:??
Edward Toth and
Sanjay Chawla GT$ \Delta $: Detecting Temporal Changes
in Group Stochastic Processes . . . . . 39:1--39:??
Wei Xie and
Feida Zhu and
Jing Xiao and
Jianzong Wang Social Network Monitoring for Bursty
Cascade Detection . . . . . . . . . . . 40:1--40:??
Xiaowei Chen and
John C. S. Lui Mining Graphlet Counts in Online Social
Networks . . . . . . . . . . . . . . . . 41:1--41:??
Hongfu Liu and
Yun Fu Consensus Guided Multi-View Clustering 42:1--42:??
Hung-Hsuan Chen Behavior2Vec: Generating Distributed
Representations of Users' Behaviors on
Products for Recommender Systems . . . . 43:1--43:??
Sriparna Saha and
Sayantan Mitra and
Stefan Kramer Exploring Multiobjective Optimization
for Multiview Clustering . . . . . . . . 44:1--44:??
Hao Wu and
Yue Ning and
Prithwish Chakraborty and
Jilles Vreeken and
Nikolaj Tatti and
Naren Ramakrishnan Generating Realistic Synthetic
Population Datasets . . . . . . . . . . 45:1--45:??
Timothy La Fond and
Jennifer Neville and
Brian Gallagher Designing Size Consistent Statistics for
Accurate Anomaly Detection in Dynamic
Networks . . . . . . . . . . . . . . . . 46:1--46:??
Nashreen Nesa and
Tania Ghosh and
Indrajit Banerjee iGRM: Improved Grey Relational Model and
Its Ensembles for Occupancy Sensing in
Internet of Things Applications . . . . 47:1--47:??
Marco Bressan and
Flavio Chierichetti and
Ravi Kumar and
Stefano Leucci and
Alessandro Panconesi Motif Counting Beyond Five Nodes . . . . 48:1--48:??
Minh-Tien Nguyen and
Duc-Vu Tran and
Le-Minh Nguyen and
Xuan-Hieu Phan Exploiting User Posts for Web Document
Summarization . . . . . . . . . . . . . 49:1--49:??
Bo Li and
Yevgeniy Vorobeychik Evasion-Robust Classification on Binary
Domains . . . . . . . . . . . . . . . . 50:1--50:??
Majid Mohammadi and
Amir Ahooye Atashin and
Wout Hofman and
Yaohua Tan Comparison of Ontology Alignment Systems
Across Single Matching Task Via the
McNemar's Test . . . . . . . . . . . . . 51:1--51:??
Jason Lines and
Sarah Taylor and
Anthony Bagnall Time Series Classification with
HIVE-COTE: The Hierarchical Vote
Collective of Transformation-Based
Ensembles . . . . . . . . . . . . . . . 52:1--52:??
Chainarong Amornbunchornvej and
Ivan Brugere and
Ariana Strandburg-Peshkin and
Damien R. Farine and
Margaret C. Crofoot and
Tanya Y. Berger-Wolf Coordination Event Detection and
Initiator Identification in Time Series
Data . . . . . . . . . . . . . . . . . . 53:1--53:??
Peipei Li and
Haixun Wang and
Hongsong Li and
Xindong Wu Employing Semantic Context for Sparse
Information Extraction Assessment . . . 54:1--54:??
Danushka Bollegala and
Vincent Atanasov and
Takanori Maehara and
Ken-Ichi Kawarabayashi ClassiNet --- Predicting Missing
Features for Short-Text Classification 55:1--55:??
Tian Qin and
Wufan Shangguan and
Guojie Song and
Jie Tang Spatio-Temporal Routine Mining on Mobile
Phone Data . . . . . . . . . . . . . . . 56:1--56:??
Ziqi Zhang and
Jie Gao and
Fabio Ciravegna SemRe-Rank: Improving Automatic Term
Extraction by Incorporating Semantic
Relatedness with Personalised PageRank 57:1--57:??
Shuji Hao and
Peiying Hu and
Peilin Zhao and
Steven C. H. Hoi and
Chunyan Miao Online Active Learning with Expert
Advice . . . . . . . . . . . . . . . . . 58:1--58:??
Fabrício A. Silva and
Augusto C. S. A. Domingues and
Thais R. M. Braga Silva Discovering Mobile Application Usage
Patterns from a Large-Scale Dataset . . 59:1--59:??
Feijiang Li and
Yuhua Qian and
Jieting Wang and
Chuangyin Dang and
Bing Liu Cluster's Quality Evaluation and
Selective Clustering Ensemble . . . . . 60:1--60:??
Matteo Riondato and
Eli Upfal ABRA: Approximating Betweenness
Centrality in Static and Dynamic Graphs
with Rademacher Averages . . . . . . . . 61:1--61:??
Ludovic Dos Santos and
Benjamin Piwowarski and
Ludovic Denoyer and
Patrick Gallinari Representation Learning for
Classification in Heterogeneous Graphs
with Application to Social Networks . . 62:1--62:??
Can Wang and
Chi-Hung Chi and
Zhong She and
Longbing Cao and
Bela Stantic Coupled Clustering Ensemble by Exploring
Data Interdependence . . . . . . . . . . 63:1--63:??
Zhipeng Huang and
Bogdan Cautis and
Reynold Cheng and
Yudian Zheng and
Nikos Mamoulis and
Jing Yan Entity-Based Query Recommendation for
Long-Tail Queries . . . . . . . . . . . 64:1--64:??
Xiaoli Liu and
Peng Cao and
André R. Gonçalves and
Dazhe Zhao and
Arindam Banerjee Modeling Alzheimer's Disease Progression
with Fused Laplacian Sparse Group Lasso 65:1--65:??
Xinran He and
David Kempe Stability and Robustness in Influence
Maximization . . . . . . . . . . . . . . 66:1--66:??
Cristina Romero-Tris and
David Megías Protecting Privacy in Trajectories with
a User-Centric Approach . . . . . . . . 67:1--67:??
Josh Jia-Ching Ying and
Ji Zhang and
Che-Wei Huang and
Kuan-Ta Chen and
Vincent S. Tseng FrauDetector+: an Incremental
Graph-Mining Approach for Efficient
Fraudulent Phone Call Detection . . . . 68:1--68:??
Mingyang Di and
Diego Klabjan and
Long Sha and
Patrick Lucey Large-Scale Adversarial Sports Play
Retrieval with Learning to Rank . . . . 69:1--69:??
Xiao Huang and
Jundong Li and
Na Zou and
Xia Hu A General Embedding Framework for
Heterogeneous Information Learning in
Large-Scale Networks . . . . . . . . . . 70:1--70:??
Ha-Myung Park and
Francesco Silvestri and
Rasmus Pagh and
Chin-Wan Chung and
Sung-Hyon Myaeng and
U. Kang Enumerating Trillion Subgraphs On
Distributed Systems . . . . . . . . . . 71:1--71:??
Xidao Wen and
Yu-Ru Lin and
Konstantinos Pelechrinis Event Analytics via Discriminant Tensor
Factorization . . . . . . . . . . . . . 72:1--72:??
Chaochao Chen and
Kevin Chen-Chuan Chang and
Qibing Li and
Xiaolin Zheng Semi-supervised Learning Meets
Factorization: Learning to Recommend
with Chain Graph Model . . . . . . . . . 73:1--73:??
Md Amran Siddiqui and
Alan Fern and
Thomas G. Dietterich and
Weng-Keen Wong Sequential Feature Explanations for
Anomaly Detection . . . . . . . . . . . 1:1--1:??
Xiaoming Liu and
Chao Shen and
Xiaohong Guan and
Yadong Zhou Digger: Detect Similar Groups in
Heterogeneous Social Networks . . . . . 2:1--2:??
Paul Lagrée and
Olivier Cappé and
Bogdan Cautis and
Silviu Maniu Algorithms for Online Influencer
Marketing . . . . . . . . . . . . . . . 3:1--3:??
Zhiqiang Tao and
Hongfu Liu and
Sheng Li and
Zhengming Ding and
Yun Fu Robust Spectral Ensemble Clustering via
Rank Minimization . . . . . . . . . . . 4:1--4:??
Bijay Prasad Jaysawal and
Jen-Wei Huang PSP-AMS: Progressive Mining of
Sequential Patterns Across Multiple
Streams . . . . . . . . . . . . . . . . 5:1--5:??
Qingquan Song and
Hancheng Ge and
James Caverlee and
Xia Hu Tensor Completion Algorithms in Big Data
Analytics . . . . . . . . . . . . . . . 6:1--6:??
Dror Moghaz and
Yaakov Hacohen-Kerner and
Dov Gabbay Text Mining for Evaluating Authors'
Birth and Death Years . . . . . . . . . 7:1--7:??
Hung-Hsuan Chen and
Pu Chen Differentiating Regularization Weights
--- A Simple Mechanism to Alleviate Cold
Start in Recommender Systems . . . . . . 8:1--8:??
Doyen Sahoo and
Steven C. H. Hoi and
Bin Li Large Scale Online Multiple Kernel
Regression with Application to
Time-Series Prediction . . . . . . . . . 9:1--9:??
Tomas Barton and
Tomas Bruna and
Pavel Kordik Chameleon 2: an Improved Graph-Based
Clustering Algorithm . . . . . . . . . . 10:1--10:??
Fabricio Murai and
Bruno Ribeiro and
Don Towlsey and
Pinghui Wang Characterizing Directed and Undirected
Networks via Multidimensional Walks with
Jumps . . . . . . . . . . . . . . . . . 11:1--11:??
Huan Wang and
Jia Wu and
Wenbin Hu and
Xindong Wu Detecting and Assessing Anomalous
Evolutionary Behaviors of Nodes in
Evolving Social Networks . . . . . . . . 12:1--12:??
Matthijs van Leeuwen and
Polo Chau and
Jilles Vreeken and
Dafna Shahaf and
Christos Faloutsos Addendum to the Special Issue on
Interactive Data Exploration and
Analytics (TKDD, Vol. 12, Iss. 1):
Introduction by the Guest Editors . . . 13:1--13:??
Anas Katib and
Praveen Rao and
Kobus Barnard and
Charles Kamhoua Fast Approximate Score Computation on
Large-Scale Distributed Data for
Learning Multinomial Bayesian Networks 14:1--14:??
Xiaofeng Gao and
Zhenhao Cao and
Sha Li and
Bin Yao and
Guihai Chen and
Shaojie Tang Taxonomy and Evaluation for Microblog
Popularity Prediction . . . . . . . . . 15:1--15:??
Ruidong Yan and
Yi Li and
Weili Wu and
Deying Li and
Yongcai Wang Rumor Blocking through Online Link
Deletion on Social Networks . . . . . . 16:1--16:??
Irene Teinemaa and
Marlon Dumas and
Marcello La Rosa and
Fabrizio Maria Maggi Outcome-Oriented Predictive Process
Monitoring: Review and Benchmark . . . . 17:1--17:??
Liang Ma and
Mudhakar Srivatsa and
Derya Cansever and
Xifeng Yan and
Sue Kase and
Michelle Vanni Performance Bounds of Decentralized
Search in Expert Networks for Query
Answering . . . . . . . . . . . . . . . 18:1--18:??
Kishlay Jha and
Guangxu Xun and
Vishrawas Gopalakrishnan and
Aidong Zhang DWE-Med: Dynamic Word Embeddings for
Medical Domain . . . . . . . . . . . . . 19:1--19:??
Jose Cadena and
Feng Chen and
Anil Vullikanti Near-Optimal and Practical Algorithms
for Graph Scan Statistics with
Connectivity Constraints . . . . . . . . 20:1--20:??
Bingbing Jiang and
Chang Li and
Maarten De Rijke and
Xin Yao and
Huanhuan Chen Probabilistic Feature Selection and
Classification Vector Machine . . . . . 21:1--21:??
Zheng Wang and
Xiaojun Ye and
Chaokun Wang and
Philip S. Yu Feature Selection via Transferring
Knowledge Across Different Classes . . . 22:1--22:??
Junyuan Hong and
Yang Li and
Huanhuan Chen Variant Grassmann Manifolds: a
Representation Augmentation Method for
Action Recognition . . . . . . . . . . . 23:1--23:??
Yumeng Guo and
Fulai Chung and
Guozheng Li and
Jiancong Wang and
James C. Gee Leveraging Label-Specific Discriminant
Mapping Features for Multi-Label
Learning . . . . . . . . . . . . . . . . 24:1--24:??
Wensheng Gan and
Jerry Chun-Wei Lin and
Philippe Fournier-Viger and
Han-Chieh Chao and
Philip S. Yu A Survey of Parallel Sequential Pattern
Mining . . . . . . . . . . . . . . . . . 25:1--25:??
Amin Mahmoudi and
Mohd Ridzwan Yaakub and
Azuraliza Abu Bakar The Relationship between Online Social
Network Ties and User Attributes . . . . 26:1--26:??
Yao Zhou and
Lei Ying and
Jingrui He Multi-task Crowdsourcing via an
Optimization Framework . . . . . . . . . 27:1--27:??
Xuchao Zhang and
Shuo Lei and
Liang Zhao and
Arnold P. Boedihardjo and
Chang-Tien Lu Robust Regression via Heuristic
Corruption Thresholding and Its Adaptive
Estimation Variation . . . . . . . . . . 28:1--28:??
Zhitao Wang and
Chengyao Chen and
Wenjie Li Information Diffusion Prediction with
Network Regularized Role-based User
Representation Learning . . . . . . . . 29:1--29:??
Fujiao Ju and
Yanfeng Sun and
Junbin Gao and
Michael Antolovich and
Junliang Dong and
Baocai Yin Tensorizing Restricted Boltzmann Machine 30:1--30:??
Chenyang Liu and
Jian Cao and
Shanshan Feng Leveraging Kernel-Incorporated Matrix
Factorization for App Recommendation . . 31:1--31:??
Mahdi Dehghan and
Ahmad Ali Abin Translations Diversification for Expert
Finding: a Novel Clustering-based
Approach . . . . . . . . . . . . . . . . 32:1--32:??
Mohsin Iqbal and
Asim Karim and
Faisal Kamiran Balancing Prediction Errors for Robust
Sentiment Classification . . . . . . . . 33:1--33:??
Mingyue Zhang and
Xuan Wei and
Xunhua Guo and
Guoqing Chen and
Qiang Wei Identifying Complements and Substitutes
of Products: a Neural Network Framework
Based on Product Embedding . . . . . . . 34:1--34:??
Yourong Huang and
Zhu Xiao and
Xiaoyou Yu and
Dong Wang and
Vincent Havyarimana and
Jing Bai Road Network Construction with Complex
Intersections Based on Sparsely Sampled
Private Car Trajectory Data . . . . . . 35:1--35:??
Fadi Dornaika Active Two Phase Collaborative
Representation Classifier . . . . . . . 36:1--36:??
Wenmain Yang and
Kun Wang and
Na Ruan and
Wenyuan Gao and
Weijia Jia and
Wei Zhao and
Nan Liu and
Yunyong Zhang Time-Sync Video Tag Extraction Using
Semantic Association Graph . . . . . . . 37:1--37:??
Victor Amelkin and
Petko Bogdanov and
Ambuj K. Singh A Distance Measure for the Analysis of
Polar Opinion Dynamics in Social
Networks . . . . . . . . . . . . . . . . 38:1--38:??
Haoran Chen and
Jinghua Li and
Junbin Gao and
Yanfeng Sun and
Yongli Hu and
Baocai Yin Maximally Correlated Principal Component
Analysis Based on Deep Parameterization
Learning . . . . . . . . . . . . . . . . 39:1--39:??
Laura Fernández Gallardo and
Ramon Sanchez-Iborra On the Impact of Voice Encoding and
Transmission on the Predictions of
Speaker Warmth and Attractiveness . . . 40:1--40:??
Carmela Comito and
Agostino Forestiero and
Clara Pizzuti Bursty Event Detection in Twitter
Streams . . . . . . . . . . . . . . . . 41:1--41:??
Jipeng Qiang and
Ping Chen and
Wei Ding and
Tong Wang and
Fei Xie and
Xindong Wu Heterogeneous-Length Text Topic Modeling
for Reader-Aware Multi-Document
Summarization . . . . . . . . . . . . . 42:1--42:??
Qingyang Li and
Zhiwen Yu and
Bin Guo and
Huang Xu and
Xinjiang Lu Housing Demand Estimation Based on
Express Delivery Data . . . . . . . . . 43:1--43:??
Sina Sajadmanesh and
Sogol Bazargani and
Jiawei Zhang and
Hamid R. Rabiee Continuous-Time Relationship Prediction
in Dynamic Heterogeneous Information
Networks . . . . . . . . . . . . . . . . 44:1--44:??
Irad Ben-Gal and
Shahar Weinstock and
Gonen Singer and
Nicholas Bambos Clustering Users by Their Mobility
Behavioral Patterns . . . . . . . . . . 45:1--45:??
Yanan Xu and
Yanmin Zhu and
Yanyan Shen and
Jiadi Yu Fine-Grained Air Quality Inference with
Remote Sensing Data and Ubiquitous Urban
Data . . . . . . . . . . . . . . . . . . 46:1--46:??
Xiren Zhou and
Huanhuan Chen and
Jinlong Li Probabilistic Mixture Model for Mapping
the Underground Pipes . . . . . . . . . 47:1--47:??
Fei Jiang and
Guosheng Yin and
Francesca Dominici Bayesian Model Selection Approach to
Multiple Change-Points Detection with
Non-Local Prior Distributions . . . . . 48:1--48:??
Yun Wang and
Guojie Song and
Lun Du and
Zhicong Lu Real-Time Estimation of the Urban Air
Quality with Mobile Sensor System . . . 49:1--49:??
Yu Xue and
Bing Xue and
Mengjie Zhang Self-Adaptive Particle Swarm
Optimization for Large-Scale Feature
Selection in Classification . . . . . . 50:1--50:??
Valter Crescenzi and
Paolo Merialdo and
Disheng Qiu Hybrid Crowd-Machine Wrapper Inference 51:1--51:??
Kun He and
Pan Shi and
David Bindel and
John E. Hopcroft Krylov Subspace Approximation for Local
Community Detection in Large Networks 52:1--52:??
Elisabetta Bergamini and
Michele Borassi and
Pierluigi Crescenzi and
Andrea Marino and
Henning Meyerhenke Computing top-$k$ Closeness Centrality
Faster in Unweighted Graphs . . . . . . 53:1--53:??
Nikolaj Tatti Density-Friendly Graph Decomposition . . 54:1--54:??
Peisong Zhu and
Zhuang Chen and
Haojie Zheng and
Tieyun Qian Aspect Aware Learning for Aspect
Category Sentiment Analysis . . . . . . 55:1--55:??
Yuandong Wang and
Xuelian Lin and
Hua Wei and
Tianyu Wo and
Zhou Huang and
Yong Zhang and
Jie Xu A Unified Framework with Multi-source
Data for Predicting Passenger Demands of
Ride Services . . . . . . . . . . . . . 56:1--56:??
Shenghua Liu and
Huawei Shen and
Houdong Zheng and
Xueqi Cheng and
Xiangwen Liao CT LIS: Learning Influences and
Susceptibilities through Temporal
Behaviors . . . . . . . . . . . . . . . 57:1--57:??
Jimmy Ming-Tai Wu and
Jerry Chun-Wei Lin and
Ashish Tamrakar High-Utility Itemset Mining with
Effective Pruning Strategies . . . . . . 58:1--58:??
Sascha Henzgen and
Eyke Hüllermeier Mining Rank Data . . . . . . . . . . . . 59:1--59:??
Martha Roseberry and
Bartosz Krawczyk and
Alberto Cano Multi-Label Punitive kNN with
Self-Adjusting Memory for Drifting Data
Streams . . . . . . . . . . . . . . . . 60:1--60:??
Yu Lei and
Wenjie Li Interactive Recommendation with
User-Specific Deep Reinforcement
Learning . . . . . . . . . . . . . . . . 61:1--61:??
John Boaz Lee and
Ryan A. Rossi and
Sungchul Kim and
Nesreen K. Ahmed and
Eunyee Koh Attention Models in Graphs: a Survey . . 62:1--62:??
Wangdong Yang and
Kenli Li and
Keqin Li A Pipeline Computing Method of SpTV for
Three-Order Tensors on CPU and GPU . . . 63:1--63:??
Yu Zhou and
Jianbin Huang and
Heli Sun and
Yizhou Sun and
Shaojie Qiao and
Stephen Wambura Recurrent Meta-Structure for Robust
Similarity Measure in Heterogeneous
Information Networks . . . . . . . . . . 64:1--64:??
Bráulio M. Veloso and
Renato M. Assunção and
Anderson A. Ferreira and
Nivio Ziviani In Search of a Stochastic Model for the
E-News Reader . . . . . . . . . . . . . 65:1--65:??
Md Kamrul Hasan and
Christopher Pal A New Smooth Approximation to the Zero
One Loss with a Probabilistic
Interpretation . . . . . . . . . . . . . 1:1--1:28
Sayantan Mitra and
Mohammed Hasanuzzaman and
Sriparna Saha A Unified Multi-view Clustering
Algorithm Using Multi-objective
Optimization Coupled with Generative
Model . . . . . . . . . . . . . . . . . 2:1--2:31
Li Ni and
Wenjian Luo and
Wenjie Zhu and
Bei Hua Local Overlapping Community Detection 3:1--3:25
Fabrizio Angiulli CFOF: a Concentration Free Measure for
Anomaly Detection . . . . . . . . . . . 4:1--4:53
Shaikh Arifuzzaman and
Maleq Khan and
Madhav Marathe Fast Parallel Algorithms for Counting
and Listing Triangles in Big Graphs . . 5:1--5:34
Kun Kuang and
Peng Cui and
Bo Li and
Meng Jiang and
Yashen Wang and
Fei Wu and
Shiqiang Yang Treatment Effect Estimation via
Differentiated Confounder Balancing and
Regression . . . . . . . . . . . . . . . 6:1--6:25
Zohaib Md. Jan and
Brijesh Verma Evolutionary Classifier and Cluster
Selection Approach for Ensemble
Classification . . . . . . . . . . . . . 7:1--7:18
Paulo Orlando Queiroz-Sousa and
Ana Carolina Salgado A Review on OLAP Technologies Applied to
Information Networks . . . . . . . . . . 8:1--8:25
Feiping Nie and
Zheng Wang and
Rong Wang and
Zhen Wang and
Xuelong Li Adaptive Local Linear Discriminant
Analysis . . . . . . . . . . . . . . . . 9:1--9:19
Xinjiang Lu and
Zhiwen Yu and
Chuanren Liu and
Yanchi Liu and
Hui Xiong and
Bin Guo Inferring Lifetime Status of
Point-of-Interest: a Multitask
Multiclass Approach . . . . . . . . . . 10:1--10:27
Edoardo Galimberti and
Francesco Bonchi and
Francesco Gullo and
Tommaso Lanciano Core Decomposition in Multilayer
Networks: Theory, Algorithms, and
Applications . . . . . . . . . . . . . . 11:1--11:40
Kijung Shin and
Sejoon Oh and
Jisu Kim and
Bryan Hooi and
Christos Faloutsos Fast, Accurate and Provable Triangle
Counting in Fully Dynamic Graph Streams 12:1--12:39
Huimei Han and
Xingquan Zhu and
Ying Li Generalizing Long Short-Term Memory
Network for Deep Learning from Generic
Data . . . . . . . . . . . . . . . . . . 13:1--13:28
Chi-Chun Lin and
Kun-Ta Chuang and
Wush Chi-Hsuan Wu and
Ming-Syan Chen Budget-Constrained Real-Time Bidding
Optimization: Multiple Predictors Make
It Better . . . . . . . . . . . . . . . 14:1--14:27
Xiaoqiang Yan and
Zhengzheng Lou and
Shizhe Hu and
Yangdong Ye Multi-task Information Bottleneck
Co-clustering for Unsupervised
Cross-view Human Action Categorization 15:1--15:23
Bo Lin and
Wei Luo and
Zhiling Luo and
Bo Wang and
Shuiguang Deng and
Jianwei Yin and
Mengchu Zhou Bradykinesia Recognition in Parkinson's
Disease via Single RGB Video . . . . . . 16:1--16:19
Shuai Liu and
Guojie Song and
Wenhao Huang Real-time Transportation Prediction
Correction using Reconstruction Error in
Deep Learning . . . . . . . . . . . . . 17:1--17:20
Chenglong Dai and
Dechang Pi and
Stefanie I. Becker and
Jia Wu and
Lin Cui and
Blake Johnson CenEEGs: Valid EEG Selection for
Classification . . . . . . . . . . . . . 18:1--18:25
Jialin Dong and
Kai Yang and
Yuanming Shi Ranking from Crowdsourced Pairwise
Comparisons via Smoothed Riemannian
Optimization . . . . . . . . . . . . . . 19:1--19:26
Yanan Xu and
Yanyan Shen and
Yanmin Zhu and
Jiadi Yu AR 2 Net: an Attentive Neural Approach
for Business Location Selection with
Satellite Data and Urban Data . . . . . 20:1--20:28
Francesco Concas and
Pengfei Xu and
Mohammad A. Hoque and
Jiaheng Lu and
Sasu Tarkoma Multiple Set Matching with Bloom Matrix
and Bloom Vector . . . . . . . . . . . . 21:1--21:21
Pei-Zhen Li and
Ling Huang and
Chang-Dong Wang and
Jian-Huang Lai and
Dong Huang Community Detection by Motif-Aware Label
Propagation . . . . . . . . . . . . . . 22:1--22:19
Yuan Guo and
Yu Sun and
Kai Wu and
Kerong Jiang New Algorithms of Feature Selection and
Big Data Assignment for CBR System
Integrated by Bayesian Network . . . . . 23:1--23:20
Ting Hua and
Chang-Tien Lu and
Jaegul Choo and
Chandan K. Reddy Probabilistic Topic Modeling for
Comparative Analysis of Document
Collections . . . . . . . . . . . . . . 24:1--24:27
Kwang Hee Lee and
Myoung Ho Kim Linearization of Dependency and Sampling
for Participation-based Betweenness
Centrality in Very Large $B$-hypergraphs 25:1--25:41
Jiang Bian and
Haoyi Xiong and
Yanjie Fu and
Jun Huan and
Zhishan Guo MP$^2$SDA: Multi-Party Parallelized
Sparse Discriminant Learning . . . . . . 26:1--26:22
Lei Tang and
Zihang Liu and
Yaling Zhao and
Zongtao Duan and
Jingchi Jia Efficient Ridesharing Framework for
Ride-matching via Heterogeneous Network
Embedding . . . . . . . . . . . . . . . 27:1--27:24
Beyza Ermis and
A. Taylan CemgIl Data Sharing via Differentially Private
Coupled Matrix Factorization . . . . . . 28:1--28:27
Yu Yang and
Xiangbo Mao and
Jian Pei and
Xiaofei He Continuous Influence Maximization . . . 29:1--29:38
Alireza Ostovar and
Sander J. J. Leemans and
Marcello La Rosa Robust Drift Characterization from Event
Streams of Business Processes . . . . . 30:1--30:57
Bang Liu and
Fred X. Han and
Di Niu and
Linglong Kong and
Kunfeng Lai and
Yu Xu Story Forest: Extracting Events and
Telling Stories from Breaking News . . . 31:1--31:28
Md Shad Akhtar and
Dushyant Singh Chauhan and
Asif Ekbal A Deep Multi-task Contextual Attention
Framework for Multi-modal Affect
Analysis . . . . . . . . . . . . . . . . 32:1--32:27
M. M. Abd-Elaziz and
Hazem M. El-Bakry and
Ahmed Abou Elfetouh and
Amira Elzeiny Enhanced Data Mining Technique to
Measure Satisfaction Degree of Social
Media Users of Xeljanz Drug . . . . . . 33:1--33:13
Alasalmi Tuomo and
Jaakko Suutala and
Juha Röning and
Heli Koskimäki Better Classifier Calibration for Small
Datasets . . . . . . . . . . . . . . . . 34:1--34:19
Chainarong Amornbunchornvej and
Tanya Berger-Wolf Framework for Inferring Following
Strategies from Time Series of Movement
Data . . . . . . . . . . . . . . . . . . 35:1--35:22
Heli Sun and
Fang He and
Jianbin Huang and
Yizhou Sun and
Yang Li and
Chenyu Wang and
Liang He and
Zhongbin Sun and
Xiaolin Jia Network Embedding for Community
Detection in Attributed Networks . . . . 36:1--36:25
Theodoros Lappas Mining Career Paths from Large Resume
Databases: Evidence from IT
Professionals . . . . . . . . . . . . . 37:1--37:38
Si Zhang and
Hanghang Tong and
Jie Tang and
Jiejun Xu and
Wei Fan Incomplete Network Alignment: Problem
Definitions and Fast Solutions . . . . . 38:1--38:26
Bintao Sun and
T.-H. Hubert Chan and
Mauro Sozio Fully Dynamic Approximate $k$-Core
Decomposition in Hypergraphs . . . . . . 39:1--39:21
Thirunavukarasu Balasubramaniam and
Richi Nayak and
Chau Yuen Efficient Nonnegative Tensor
Factorization via Saturating Coordinate
Descent . . . . . . . . . . . . . . . . 40:1--40:28
Xiangjie Kong and
Jun Zhang and
Da Zhang and
Yi Bu and
Ying Ding and
Feng Xia The Gene of Scientific Success . . . . . 41:1--41:19
Cen Chen and
Kenli Li and
Sin G. Teo and
Xiaofeng Zou and
Keqin Li and
Zeng Zeng Citywide Traffic Flow Prediction Based
on Multiple Gated Spatio-temporal
Convolutional Neural Networks . . . . . 42:1--42:23
Tianyu Zhu and
Guannan Liu and
Guoqing Chen Social Collaborative Mutual Learning for
Item Recommendation . . . . . . . . . . 43:1--43:19
Anthony C. Constantinou Learning Bayesian Networks with the
Saiyan Algorithm . . . . . . . . . . . . 44:1--44:21
Changping Wang and
Chaokun Wang and
Zheng Wang and
Xiaojun Ye and
Philip S. Yu Edge2vec: Edge-based Social Network
Embedding . . . . . . . . . . . . . . . 45:1--45:24
Xiaofeng Zhu and
Shichao Zhang and
Jilian Zhang and
Yonggang Li and
Guangquan Lu and
Yang Yang Sparse Graph Connectivity for Image
Segmentation . . . . . . . . . . . . . . 46:1--46:19
Henrique O. Marques and
Ricardo J. G. B. Campello and
Jürg Sander and
Arthur Zimek Internal Evaluation of Unsupervised
Outlier Detection . . . . . . . . . . . 47:1--47:42
Xiaofeng Zhu and
Shichao Zhang and
Yonghua Zhu and
Wei Zheng and
Yang Yang Self-weighted Multi-view Fuzzy
Clustering . . . . . . . . . . . . . . . 48:1--48:17
Shubhomoy Das and
Weng-Keen Wong and
Thomas Dietterich and
Alan Fern and
Andrew Emmott Discovering Anomalies by Incorporating
Feedback from an Expert . . . . . . . . 49:1--49:32
Yuanbo Xu and
Yongjian Yang and
En Wang and
Jiayu Han and
Fuzhen Zhuang and
Zhiwen Yu and
Hui Xiong Neural Serendipity Recommendation:
Exploring the Balance between Accuracy
and Novelty with Sparse Explicit
Feedback . . . . . . . . . . . . . . . . 50:1--50:25
Hui Xiong and
Chih-Jen Lin Introduction to the Special Issue on the
Best Papers from KDD 2018 . . . . . . . 51e:1--51e:2
Ping Zhang and
Zhifeng Bao and
Yuchen Li and
Guoliang Li and
Yipeng Zhang and
Zhiyong Peng Towards an Optimal Outdoor Advertising
Placement: When a Budget Constraint
Meets Moving Trajectories . . . . . . . 51:1--51:32
Keli Xiao and
Zeyang Ye and
Lihao Zhang and
Wenjun Zhou and
Yong Ge and
Yuefan Deng Multi-User Mobile Sequential
Recommendation for Route Optimization 52:1--52:28
Mengdi Huai and
Chenglin Miao and
Yaliang Li and
Qiuling Suo and
Lu Su and
Aidong Zhang Learning Distance Metrics from
Probabilistic Information . . . . . . . 53:1--53:33
Hongyuan Zhu and
Qi Liu and
Nicholas Jing Yuan and
Kun Zhang and
Guang Zhou and
Enhong Chen Pop Music Generation: From Melody to
Multi-style Arrangement . . . . . . . . 54:1--54:31
Dominik Mautz and
Wei Ye and
Claudia Plant and
Christian Böhm Non-Redundant Subspace Clusterings with
Nr-Kmeans and Nr-DipMeans . . . . . . . 55:1--55:24
Matteo Riondato and
Fabio Vandin MiSoSouP: Mining Interesting Subgroups
with Sampling and Pseudodimension . . . 56:1--56:31
Daniel Zügner and
Oliver Borchert and
Amir Akbarnejad and
Stephan Günnemann Adversarial Attacks on Graph Neural
Networks: Perturbations and their
Patterns . . . . . . . . . . . . . . . . 57:1--57:31
Xu Zhou and
Kenli Li and
Zhibang Yang and
Yunjun Gao and
Keqin Li Efficient Approaches to $k$
Representative G-Skyline Queries . . . . 58:1--58:27
Peilin Zhao and
Dayong Wang and
Pengcheng Wu and
Steven C. H. Hoi A Unified Framework for Sparse Online
Learning . . . . . . . . . . . . . . . . 59:1--59:20
Matteo Ceccarello and
Andrea Pietracaprina and
Geppino Pucci A General Coreset-Based Approach to
Diversity Maximization under Matroid
Constraints . . . . . . . . . . . . . . 60:1--60:27
Hung Nguyen and
Xuejian Wang and
Leman Akoglu End-to-End Continual Rare-Class
Recognition with Emerging Novel
Subclasses . . . . . . . . . . . . . . . 61:1--61:28
Tingting Wang and
Lei Duan and
Guozhu Dong and
Zhifeng Bao Efficient Mining of Outlying Sequence
Patterns for Analyzing Outlierness of
Sequence Data . . . . . . . . . . . . . 62:1--62:26
Ryan A. Rossi and
Di Jin and
Sungchul Kim and
Nesreen K. Ahmed and
Danai Koutra and
John Boaz Lee On Proximity and Structural Role-based
Embeddings in Networks: Misconceptions,
Techniques, and Applications . . . . . . 63:1--63:37
Athanasios N. Nikolakopoulos and
George Karypis Boosting Item-based Collaborative
Filtering via Nearly Uncoupled Random
Walks . . . . . . . . . . . . . . . . . 64:1--64:26
Jiarong Xu and
Yifan Luo and
Jianrong Tao and
Changjie Fan and
Zhou Zhao and
Jiangang Lu NGUARD+: an Attention-based Game Bot
Detection Framework via Player Behavior
Sequences . . . . . . . . . . . . . . . 65:1--65:24
Jianxiong Guo and
Weili Wu Influence Maximization: Seeding Based on
Community Structure . . . . . . . . . . 66:1--66:22
Renjun Hu and
Yanchi Liu and
Yanyan Li and
Jingbo Zhou and
Shuai Ma and
Hui Xiong Exploiting User Preference and Mobile
Peer Influence for Human Mobility
Annotation . . . . . . . . . . . . . . . 67:1--67:18
Guansong Pang and
Longbing Cao Heterogeneous Univariate Outlier
Ensembles in Multidimensional Data . . . 68:1--68:27
Nuha Zamzami and
Nizar Bouguila Probabilistic Modeling for Frequency
Vectors Using a Flexible Shifted-Scaled
Dirichlet Distribution Prior . . . . . . 69:1--69:35
Ramesh Paudel and
William Eberle An Approach For Concept Drift Detection
in a Graph Stream Using Discriminative
Subgraphs . . . . . . . . . . . . . . . 70:1--70:25
Wathsala Anupama Mohotti and
Richi Nayak Efficient Outlier Detection in Text
Corpus Using Rare Frequency and Ranking 71:1--71:30
Chen Zhang and
Steven C. H. Hoi and
Fugee Tsung Time-Warped Sparse Non-negative
Factorization for Functional Data
Analysis . . . . . . . . . . . . . . . . 72:1--72:23
Michael Matheny and
Dong Xie and
Jeff M. Phillips Scalable Spatial Scan Statistics for
Trajectories . . . . . . . . . . . . . . 73:1--73:24
Shuangyin Li and
Yu Zhang and
Rong Pan Bi-Directional Recurrent Attentional
Topic Model . . . . . . . . . . . . . . 74:1--74:30
Jipeng Guo and
Yanfeng Sun and
Junbin Gao and
Yongli Hu and
Baocai Yin Robust Adaptive Linear Discriminant
Analysis with Bidirectional
Reconstruction Constraint . . . . . . . 75:1--75:20
Fotis Savva and
Christos Anagnostopoulos and
Peter Triantafillou and
Kostas Kolomvatsos Large-scale Data Exploration Using
Explanatory Regression Functions . . . . 76:1--76:33
Qian Ma and
Yu Gu and
Wang-Chien Lee and
Ge Yu and
Hongbo Liu and
Xindong Wu REMIAN: Real-Time and Error-Tolerant
Missing Value Imputation . . . . . . . . 77:1--77:38
Hao Wang and
Shuai Ding and
Yeqing Li and
Xiaojian Li and
Youtao Zhang Hierarchical Physician Recommendation
via Diversity-enhanced Matrix
Factorization . . . . . . . . . . . . . 1:1--1:17
Edoardo Galimberti and
Martino Ciaperoni and
Alain Barrat and
Francesco Bonchi and
Ciro Cattuto and
Francesco Gullo Span-core Decomposition for Temporal
Networks: Algorithms and Applications 2:1--2:44
Yu Huang and
Josh Jia-Ching Ying and
Philip S. Yu and
Vincent S. Tseng Dynamic Graph Mining for Multi-weight
Multi-destination Route Planning with
Deadlines Constraints . . . . . . . . . 3:1--3:32
Michael J. Siers and
Md Zahidul Islam Class Imbalance and Cost-Sensitive
Decision Trees: a Unified Survey Based
on a Core Similarity . . . . . . . . . . 4:1--4:31
Hong Huang and
Yu Song and
Fanghua Ye and
Xing Xie and
Xuanhua Shi and
Hai Jin Multi-Stage Network Embedding for
Exploring Heterogeneous Edges . . . . . 5:1--5:27
Yue Hu and
Daniel B. Work Robust Tensor Recovery with Fiber
Outliers for Traffic Events . . . . . . 6:1--6:27
Xiaoyan Zhu and
Yingbin Li and
Jiayin Wang and
Tian Zheng and
Jingwen Fu Automatic Recommendation of a Distance
Measure for Clustering Algorithms . . . 7:1--7:22
Giulia Bernardini and
Huiping Chen and
Alessio Conte and
Roberto Grossi and
Grigorios Loukides and
Nadia Pisanti and
Solon P. Pissis and
Giovanna Rosone and
Michelle Sweering Combinatorial Algorithms for String
Sanitization . . . . . . . . . . . . . . 8:1--8:34
Ryan A. Rossi and
Nesreen K. Ahmed and
Aldo Carranza and
David Arbour and
Anup Rao and
Sungchul Kim and
Eunyee Koh Heterogeneous Graphlets . . . . . . . . 9:1--9:43
Yugang Ji and
Mingyang Yin and
Hongxia Yang and
Jingren Zhou and
Vincent W. Zheng and
Chuan Shi and
Yuan Fang Accelerating Large-Scale Heterogeneous
Interaction Graph Embedding Learning via
Importance Sampling . . . . . . . . . . 10:1--10:23
Guangxu Xun and
Kishlay Jha and
Aidong Zhang MeSHProbeNet-P: Improving Large-scale
MeSH Indexing with Personalizable MeSH
Probes . . . . . . . . . . . . . . . . . 11:1--11:14
Jinzheng Tu and
Guoxian Yu and
Jun Wang and
Carlotta Domeniconi and
Maozu Guo and
Xiangliang Zhang CrowdWT: Crowdsourcing via Joint
Modeling of Workers and Tasks . . . . . 12:1--12:24
Ricardo De Azevedo and
Gabriel Resende Machado and
Ronaldo Ribeiro Goldschmidt and
Ricardo Choren A Reduced Network Traffic Method for IoT
Data Clustering . . . . . . . . . . . . 13:1--13:23
Andrea Rossi and
Denilson Barbosa and
Donatella Firmani and
Antonio Matinata and
Paolo Merialdo Knowledge Graph Embedding for Link
Prediction: a Comparative Analysis . . . 14:1--14:49
Chainarong Amornbunchornvej and
Navaporn Surasvadi and
Anon Plangprasopchok and
Suttipong Thajchayapong Identifying Linear Models in
Multi-Resolution Population Data Using
Minimum Description Length Principle to
Predict Household Income . . . . . . . . 15:1--15:30
Yi Feng and
Chuanyi Li and
Jidong Ge and
Bin Luo and
Vincent Ng Recommending Statutes: a Portable Method
Based on Neural Networks . . . . . . . . 16:1--16:22
Yashen Wang and
Huanhuan Zhang HARP: a Novel Hierarchical Attention
Model for Relation Prediction . . . . . 17:1--17:22
Dawei Zhou and
Si Zhang and
Mehmet Yigit Yildirim and
Scott Alcorn and
Hanghang Tong and
Hasan Davulcu and
Jingrui He High-Order Structure Exploration on
Massive Graphs: a Local Graph Clustering
Perspective . . . . . . . . . . . . . . 18:1--18:26
Chongshou Li and
Brenda Cheang and
Zhixing Luo and
Andrew Lim An Exponential Factorization Machine
with Percentage Error Minimization to
Retail Sales Forecasting . . . . . . . . 19:1--19:32
Youcef Djenouri and
Djamel Djenouri and
Jerry Chun-Wei Lin Trajectory Outlier Detection: New
Problems and Solutions for Smart Cities 20:1--20:28
Kafeng Wang and
Haoyi Xiong and
Jiang Bian and
Zhanxing Zhu and
Qian Gao and
Zhishan Guo and
Cheng-Zhong Xu and
Jun Huan and
Dejing Dou Sampling Sparse Representations with
Randomized Measurement Langevin Dynamics 21:1--21:21
Radim Belohlavek and
Martin Trnecka The 8M Algorithm from Today's
Perspective . . . . . . . . . . . . . . 22:1--22:22
En Xu and
Zhiwen Yu and
Bin Guo and
Helei Cui Core Interest Network for Click-Through
Rate Prediction . . . . . . . . . . . . 23:1--23:16
Aindrila Ghosh and
Mona Nashaat and
James Miller and
Shaikh Quader Context-Based Evaluation of
Dimensionality Reduction
Algorithms-Experiments and Statistical
Significance Analysis . . . . . . . . . 24:1--24:40
Shikang Liu and
Fatemeh Vahedian and
David Hachen and
Omar Lizardo and
Christian Poellabauer and
Aaron Striegel and
Tijana Milenkovi\'c Heterogeneous Network Approach to
Predict Individuals' Mental Health . . . 25:1--25:26
Zhengze Zhou and
Giles Hooker Unbiased Measurement of Feature
Importance in Tree-Based Methods . . . . 26:1--26:21
Matthew Almeida and
Yong Zhuang and
Wei Ding and
Scott E. Crouter and
Ping Chen Mitigating Class-Boundary Label
Uncertainty to Reduce Both Model Bias
and Variance . . . . . . . . . . . . . . 27:1--27:18
Mario Andrés Muñoz and
Tao Yan and
Matheus R. Leal and
Kate Smith-Miles and
Ana Carolina Lorena and
Gisele L. Pappa and
Rômulo Madureira Rodrigues An Instance Space Analysis of Regression
Problems . . . . . . . . . . . . . . . . 28:1--28:25
Michele Coscia Noise Corrected Sampling of Online
Social Networks . . . . . . . . . . . . 29:1--29:21
Georg Steinbuss and
Klemens Böhm Generating Artificial Outliers in the
Absence of Genuine Ones --- A Survey . . 30:1--30:37
Yi Zhu and
Lei Li and
Xindong Wu Stacked Convolutional Sparse
Auto-Encoders for Representation
Learning . . . . . . . . . . . . . . . . 31:1--31:21
Bin Sun and
Dehui Kong and
Shaofan Wang and
Lichun Wang and
Baocai Yin Joint Transferable Dictionary Learning
and View Adaptation for Multi-view Human
Action Recognition . . . . . . . . . . . 32:1--32:23
Unai Garciarena and
Alexander Mendiburu and
Roberto Santana Towards Automatic Construction of
Multi-Network Models for Heterogeneous
Multi-Task Learning . . . . . . . . . . 33:1--33:23
Shi Ying and
Bingming Wang and
Lu Wang and
Qingshan Li and
Yishi Zhao and
Jianga Shang and
Hao Huang and
Guoli Cheng and
Zhe Yang and
Jiangyi Geng An Improved KNN-Based Efficient Log
Anomaly Detection Method with
Automatically Labeled Samples . . . . . 34:1--34:22
Andrea De Salve and
Paolo Mori and
Barbara Guidi and
Laura Ricci and
Roberto Di Pietro Predicting Influential Users in Online
Social Network Groups . . . . . . . . . 35:1--35:50
Hong Xie and
Mingze Zhong and
Yongkun Li and
John C. S. Lui Understanding Persuasion Cascades in
Online Product Rating Systems: Modeling,
Analysis, and Inference . . . . . . . . 36:1--36:29
Zheng Zhang and
Xiaofeng Zhu and
Guangming Lu and
Yudong Zhang Probability Ordinal-Preserving Semantic
Hashing for Large-Scale Image Retrieval 37:1--37:22
Kijung Shin and
Euiwoong Lee and
Jinoh Oh and
Mohammad Hammoud and
Christos Faloutsos CoCoS: Fast and Accurate Distributed
Triangle Counting in Graph Streams . . . 38:1--38:30
Sezin Kircali Ata and
Yuan Fang and
Min Wu and
Jiaqi Shi and
Chee Keong Kwoh and
Xiaoli Li Multi-View Collaborative Network
Embedding . . . . . . . . . . . . . . . 39:1--39:18
Wei Wang and
Feng Xia and
Jian Wu and
Zhiguo Gong and
Hanghang Tong and
Brian D. Davison Scholar2vec: Vector Representation of
Scholars for Lifetime Collaborator
Prediction . . . . . . . . . . . . . . . 40:1--40:19
Luyi Bai and
Xiangnan Ma and
Mingcheng Zhang and
Wenting Yu TPmod: a Tendency-Guided Prediction
Model for Temporal Knowledge Graph
Completion . . . . . . . . . . . . . . . 41:1--41:17
Jingjing Wang and
Wenjun Jiang and
Kenli Li and
Keqin Li Reducing Cumulative Errors of
Incremental CP Decomposition in Dynamic
Online Social Networks . . . . . . . . . 42:1--42:33
Guanhao Wu and
Xiaofeng Gao and
Ge Yan and
Guihai Chen Parallel Greedy Algorithm to Multiple
Influence Maximization in Social Network 43:1--43:21
Lei Yang and
Xi Yu and
Jiannong Cao and
Xuxun Liu and
Pan Zhou Exploring Deep Reinforcement Learning
for Task Dispatching in Autonomous
On-Demand Services . . . . . . . . . . . 44:1--44:23
Lin Cheng and
Yuliang Shi and
Kun Zhang and
Xinjun Wang and
Zhiyong Chen GGATB-LSTM: Grouping and Global
Attention-based Time-aware Bidirectional
LSTM Medical Treatment Behavior
Prediction . . . . . . . . . . . . . . . 45:1--45:16
Xueyan Liu and
Bo Yang and
Hechang Chen and
Katarzyna Musial and
Hongxu Chen and
Yang Li and
Wanli Zuo A Scalable Redefined Stochastic
Blockmodel . . . . . . . . . . . . . . . 46:1--46:28
Yan Liu and
Bin Guo and
Daqing Zhang and
Djamal Zeghlache and
Jingmin Chen and
Ke Hu and
Sizhe Zhang and
Dan Zhou and
Zhiwen Yu Knowledge Transfer with Weighted
Adversarial Network for Cold-Start Store
Site Recommendation . . . . . . . . . . 47:1--47:27
Muhammad Anis Uddin Nasir and
Cigdem Aslay and
Gianmarco De Francisci Morales and
Matteo Riondato TipTap: Approximate Mining of Frequent
$k$-Subgraph Patterns in Evolving Graphs 48:1--48:35
Chen Lin and
Zhichao Ouyang and
Xiaoli Wang and
Hui Li and
Zhenhua Huang Preserve Integrity in Realtime Event
Summarization . . . . . . . . . . . . . 49:1--49:29
Jie Jiang and
Qiuqiang Kong and
Mark D. Plumbley and
Nigel Gilbert and
Mark Hoogendoorn and
Diederik M. Roijers Deep Learning-Based Energy
Disaggregation and On/Off Detection of
Household Appliances . . . . . . . . . . 50:1--50:21
Haida Zhang and
Zengfeng Huang and
Xuemin Lin and
Zhe Lin and
Wenjie Zhang and
Ying Zhang Efficient and High-Quality Seeded Graph
Matching: Employing Higher-order
Structural Information . . . . . . . . . 51:1--51:31
Nils Barlaug and
Jon Atle Gulla Neural Networks for Entity Matching: a
Survey . . . . . . . . . . . . . . . . . 52:1--52:37
Chen Chen and
Ruiyue Peng and
Lei Ying and
Hanghang Tong Fast Connectivity Minimization on
Large-Scale Networks . . . . . . . . . . 53:1--53:25
Yunzhe Wang and
George Baciu and
Chenhui Li A Layout-Based Classification Method for
Visualizing Time-Varying Graphs . . . . 54:1--54:24
Yi Ouyang and
Bin Guo and
Xing Tang and
Xiuqiang He and
Jian Xiong and
Zhiwen Yu Mobile App Cross-Domain Recommendation
with Multi-Graph Neural Network . . . . 55:1--55:21
F. Dornaika Elastic Embedding through Graph
Convolution-based Regression for
Semi-supervised Classification . . . . . 56:1--56:11
Yanni Li and
Bing Liu and
Yongbo Yu and
Hui Li and
Jiacan Sun and
Jiangtao Cui 3E-LDA: Three Enhancements to Linear
Discriminant Analysis . . . . . . . . . 57:1--57:20
Tianzi Zang and
Yanmin Zhu and
Yanan Xu and
Jiadi Yu Jointly Modeling Spatio-Temporal
Dependencies and Daily Flow Correlations
for Crowd Flow Prediction . . . . . . . 58:1--58:20
Nesreen K. Ahmed and
Nick Duffield and
Ryan A. Rossi Online Sampling of Temporal Networks . . 59:1--59:27
Huan Zhao and
Quanming Yao and
Yangqiu Song and
James T. Kwok and
Dik Lun Lee Side Information Fusion for Recommender
Systems over Heterogeneous Information
Network . . . . . . . . . . . . . . . . 60:1--60:32
Daokun Zhang and
Jie Yin and
Xingquan Zhu and
Chengqi Zhang Search Efficient Binary Network
Embedding . . . . . . . . . . . . . . . 61:1--61:27
Guojie Song and
Yun Wang and
Lun Du and
Yi Li and
Junshan Wang Network Embedding on Hierarchical
Community Structure Network . . . . . . 62:1--62:23
Kui Yu and
Lin Liu and
Jiuyong Li A Unified View of Causal and Non-causal
Feature Selection . . . . . . . . . . . 63:1--63:46
Shuai Yin and
Yanfeng Sun and
Junbin Gao and
Yongli Hu and
Boyue Wang and
Baocai Yin Robust Image Representation via Low Rank
Locality Preserving Projection . . . . . 64:1--64:22
Georg Steinbuss and
Klemens Böhm Benchmarking Unsupervised Outlier
Detection with Realistic Synthetic Data 65:1--65:20
Mingkai Lin and
Wenzhong Li and
Lynda J. Song and
Cam-Tu Nguyen and
Xiaoliang Wang and
Sanglu Lu SAKE: Estimating Katz Centrality Based
on Sampling for Large-Scale Social
Networks . . . . . . . . . . . . . . . . 66:1--66:21
Chainarong Amornbunchornvej and
Elena Zheleva and
Tanya Berger-Wolf Variable-lag Granger Causality and
Transfer Entropy for Time Series
Analysis . . . . . . . . . . . . . . . . 67:1--67:30
Peike Xia and
Wenjun Jiang and
Jie Wu and
Surong Xiao and
Guojun Wang Exploiting Temporal Dynamics in Product
Reviews for Dynamic Sentiment Prediction
at the Aspect Level . . . . . . . . . . 68:1--68:29
Suhansanu Kumar and
Hari Sundaram Attribute-Guided Network Sampling
Mechanisms . . . . . . . . . . . . . . . 69:1--69:24
Negin Ghasemi and
Ramin Fatourechi and
Saeedeh Momtazi User Embedding for Expert Finding in
Community Question Answering . . . . . . 70:1--70:16
Ruidong Yan and
Yi Li and
Deying Li and
Yongcai Wang and
Yuqing Zhu and
Weili Wu A Stochastic Algorithm Based on Reverse
Sampling Technique to Fight Against the
Cyberbullying . . . . . . . . . . . . . 71:1--71:22
Juan-Hui Li and
Ling Huang and
Chang-Dong Wang and
Dong Huang and
Jian-Huang Lai and
Pei Chen Attributed Network Embedding with
Micro-Meso Structure . . . . . . . . . . 72:1--72:26
Benhui Zhang and
Maoguo Gong and
Jianbin Huang and
Xiaoke Ma Clustering Heterogeneous Information
Network by Joint Graph Embedding and
Nonnegative Matrix Factorization . . . . 73:1--73:25
Liuyi Yao and
Zhixuan Chu and
Sheng Li and
Yaliang Li and
Jing Gao and
Aidong Zhang A Survey on Causal Inference . . . . . . 74:1--74:46
Wissam Al Jurdi and
Jacques Bou Abdo and
Jacques Demerjian and
Abdallah Makhoul Critique on Natural Noise in Recommender
Systems . . . . . . . . . . . . . . . . 75:1--75:30
Quang-huy Duong and
Heri Ramampiaro and
Kjetil Nòrvåg and
Thu-lan Dam Density Guarantee on Finding Multiple
Subgraphs and Subtensors . . . . . . . . 76:1--76:32
Paul Burkhardt Optimal Algebraic Breadth-First Search
for Sparse Graphs . . . . . . . . . . . 77:1--77:19
Sunil Kumar Maurya and
Xin Liu and
Tsuyoshi Murata Graph Neural Networks for Fast Node
Ranking Approximation . . . . . . . . . 78:1--78:32
Lorenzo De Stefani and
Erisa Terolli and
Eli Upfal Tiered Sampling: an Efficient Method for
Counting Sparse Motifs in Massive Graph
Streams . . . . . . . . . . . . . . . . 79:1--79:52
Josef Bauer and
Dietmar Jannach Improved Customer Lifetime Value
Prediction With Sequence-To-Sequence
Learning and Feature-Based Models . . . 80:1--80:37
Seyed-Vahid Sanei-Mehri and
Apurba Das and
Hooman Hashemi and
Srikanta Tirthapura Mining Largest Maximal Quasi-Cliques . . 81:1--81:21
Wensheng Gan and
Jerry Chun-Wei Lin and
Jiexiong Zhang and
Hongzhi Yin and
Philippe Fournier-Viger and
Han-Chieh Chao and
Philip S. Yu Utility Mining Across Multi-Dimensional
Sequences . . . . . . . . . . . . . . . 82:1--82:24
Shaoyang Hao and
Bin Guo and
Hao Wang and
Yunji Liang and
Lina Yao and
Qianru Wang and
Zhiwen Yu DeepDepict: Enabling Information Rich,
Personalized Product Description
Generation With the Deep Multiple
Pointer Generator Network . . . . . . . 83:1--83:16
Jianxiong Guo and
Weili Wu Adaptive Influence Maximization: If
Influential Node Unwilling to Be the
Seed . . . . . . . . . . . . . . . . . . 84:1--84:23
Weiyu Cheng and
Yanyan Shen and
Linpeng Huang and
Yanmin Zhu Dual-Embedding based Deep Latent Factor
Models for Recommendation . . . . . . . 85:1--85:24
Shalini Sharma and
Angshul Majumdar Sequential Transform Learning . . . . . 86:1--86:18
Kai Liu and
Hongbo Liu and
Tomas E. Ward and
Hua Wang and
Yu Yang and
Bo Zhang and
Xindong Wu Self-Adaptive Skeleton Approaches to
Detect Self-Organized Coalitions From
Brain Functional Networks Through
Probabilistic Mixture Models . . . . . . 87:1--87:26
Xiang Ling and
Lingfei Wu and
Saizhuo Wang and
Gaoning Pan and
Tengfei Ma and
Fangli Xu and
Alex X. Liu and
Chunming Wu and
Shouling Ji Deep Graph Matching and Searching for
Semantic Code Retrieval . . . . . . . . 88:1--88:21
Hao Peng and
Jianxin Li and
Yangqiu Song and
Renyu Yang and
Rajiv Ranjan and
Philip S. Yu and
Lifang He Streaming Social Event Detection and
Evolution Discovery in Heterogeneous
Information Networks . . . . . . . . . . 89:1--89:33
Lin Yue and
Hao Shen and
Sen Wang and
Robert Boots and
Guodong Long and
Weitong Chen and
Xiaowei Zhao Exploring BCI Control in Smart
Environments: Intention Recognition Via
EEG Representation Enhancement Learning 90:1--90:20
Huawen Liu and
Enhui Li and
Xinwang Liu and
Kaile Su and
Shichao Zhang Anomaly Detection With Kernel Preserving
Embedding . . . . . . . . . . . . . . . 91:1--91:18
Bo Liu and
Xi He and
Mingdong Song and
Jiangqiang Li and
Guangzhi Qu and
Jianlei Lang and
Rentao Gu A Method for Mining Granger Causality
Relationship on Atmospheric Visibility 92:1--92:16
Dipanjyoti Paul and
Rahul Kumar and
Sriparna Saha and
Jimson Mathew Multi-objective Cuckoo Search-based
Streaming Feature Selection for
Multi-label Dataset . . . . . . . . . . 93:1--93:24
Federico Coró and
Gianlorenzo D'angelo and
Yllka Velaj Link Recommendation for Social Influence
Maximization . . . . . . . . . . . . . . 94:1--94:23
Xiaofeng Gao and
Wenyi Xu and
Mingding Liao and
Guihai Chen Trust Prediction for Online Social
Networks with Integrated Time-Aware
Similarity . . . . . . . . . . . . . . . 95:1--95:30
Marco Bressan and
Stefano Leucci and
Alessandro Panconesi Faster Motif Counting via Succinct Color
Coding and Adaptive Sampling . . . . . . 96:1--96:27
Shaoning Zeng and
Bob Zhang and
Jianping Gou and
Yong Xu and
Wei Huang Fast and Robust Dictionary-based
Classification for Image Data . . . . . 97:1--97:22
Chenglin Li and
Carrie Lu Tong and
Di Niu and
Bei Jiang and
Xiao Zuo and
Lei Cheng and
Jian Xiong and
Jianming Yang Similarity Embedding Networks for Robust
Human Activity Recognition . . . . . . . 98:1--98:17
Paramita Koley and
Avirup Saha and
Sourangshu Bhattacharya and
Niloy Ganguly and
Abir De Demarcating Endogenous and Exogenous
Opinion Dynamics: an Experimental Design
Approach . . . . . . . . . . . . . . . . 99:1--99:25
Mikel Joaristi and
Edoardo Serra SIR-GN: a Fast Structural Iterative
Representation Learning Approach For
Graph Nodes . . . . . . . . . . . . . . 100:1--100:39
Man Wu and
Shirui Pan and
Lan Du and
Xingquan Zhu Learning Graph Neural Networks with
Positive and Unlabeled Nodes . . . . . . 101:1--101:25
Dongsheng Li and
Haodong Liu and
Chao Chen and
Yingying Zhao and
Stephen M. Chu and
Bo Yang NeuSE: a Neural Snapshot Ensemble Method
for Collaborative Filtering . . . . . . 102:1--102:20
Jinliang Deng and
Xiusi Chen and
Zipei Fan and
Renhe Jiang and
Xuan Song and
Ivor W. Tsang The Pulse of Urban Transport: Exploring
the Co-evolving Pattern for
Spatio-temporal Forecasting . . . . . . 103:1--103:25
Yashen Wang and
Huanhuan Zhang and
Zhirun Liu and
Qiang Zhou Hierarchical Concept-Driven Language
Model . . . . . . . . . . . . . . . . . 104:1--104:22
Julián Alarte and
Josep Silva Page-Level Main Content Extraction From
Heterogeneous Webpages . . . . . . . . . 105:1--105:105
Buddhika Nettasinghe and
Vikram Krishnamurthy Maximum Likelihood Estimation of
Power-law Degree Distributions via
Friendship Paradox-based Sampling . . . 106:1--106:28
Ali Anaissi and
Basem Suleiman and
Seid Miad Zandavi Online Tensor-Based Learning Model for
Structural Damage Detection . . . . . . 107:1--107:18
Rui Wang and
Yongkun Li and
Shuai Lin and
Hong Xie and
Yinlong Xu and
John C. S. Lui On Modeling Influence Maximization in
Social Activity Networks under General
Settings . . . . . . . . . . . . . . . . 108:1--108:28
Zhe Chen and
Aixin Sun and
Xiaokui Xiao Incremental Community Detection on Large
Complex Attributed Network . . . . . . . 109:1--109:20
Tong Xia and
Junjie Lin and
Yong Li and
Jie Feng and
Pan Hui and
Funing Sun and
Diansheng Guo and
Depeng Jin $3$DGCN: $3$-Dimensional Dynamic Graph
Convolutional Network for Citywide Crowd
Flow Prediction . . . . . . . . . . . . 110:1--110:21
Kai Liu and
Xiangyu Li and
Zhihui Zhu and
Lodewijk Brand and
Hua Wang Factor-Bounded Nonnegative Matrix
Factorization . . . . . . . . . . . . . 111:1--111:18
Huandong Wang and
Yong Li and
Mu Du and
Zhenhui Li and
Depeng Jin App2Vec: Context-Aware Application Usage
Prediction . . . . . . . . . . . . . . . 112:1--112:21
Fenglin Liu and
Xian Wu and
Shen Ge and
Xuancheng Ren and
Wei Fan and
Xu Sun and
Yuexian Zou DiMBERT: Learning Vision-Language
Grounded Representations with
Disentangled Multimodal-Attention . . . 1:1--1:19
Chen Gao and
Yong Li and
Fuli Feng and
Xiangning Chen and
Kai Zhao and
Xiangnan He and
Depeng Jin Cross-domain Recommendation with
Bridge-Item Embeddings . . . . . . . . . 2:1--2:23
Luyue Lin and
Xin Zheng and
Bo Liu and
Wei Chen and
Yanshan Xiao A Latent Variable Augmentation Method
for Image Categorization with
Insufficient Training Samples . . . . . 3:1--3:35
Jianliang Gao and
Xiaoting Ying and
Cong Xu and
Jianxin Wang and
Shichao Zhang and
Zhao Li Graph-Based Stock Recommendation by
Time-Aware Relational Attention Network 4:1--4:21
Yaojin Lin and
Qinghua Hu and
Jinghua Liu and
Xingquan Zhu and
Xindong Wu MULFE: Multi-Label Learning via
Label-Specific Feature Space Ensemble 5:1--5:24
Fandel Lin and
Hsun-Ping Hsieh A Joint Passenger Flow Inference and
Path Recommender System for Deploying
New Routes and Stations of Mass Transit
Transportation . . . . . . . . . . . . . 6:1--6:36
Huafeng Liu and
Liping Jing and
Jingxuan Wen and
Pengyu Xu and
Jian Yu and
Michael K. Ng Bayesian Additive Matrix Approximation
for Social Recommendation . . . . . . . 7:1--7:34
Jinjin Guo and
Longbing Cao and
Zhiguo Gong Recurrent Coupled Topic Modeling over
Sequential Documents . . . . . . . . . . 8:1--8:32
Yunyan Guo and
Jianzhong Li Distributed Latent Dirichlet Allocation
on Streams . . . . . . . . . . . . . . . 9:1--9:20
Juhee Han and
Younghoon Lee Explainable Artificial
Intelligence-Based Competitive Factor
Identification . . . . . . . . . . . . . 10:1--10:11
Ricky Laishram and
Jeremy D. Wendt and
Sucheta Soundarajan MCS+: an Efficient Algorithm for
Crawling the Community Structure in
Multiplex Networks . . . . . . . . . . . 11:1--11:32
Lichen Wang and
Zhengming Ding and
Yun Fu Generic Multi-label Annotation via
Adaptive Graph and Marginalized
Augmentation . . . . . . . . . . . . . . 12:1--12:20
Alejandro Moreo and
Andrea Esuli and
Fabrizio Sebastiani Lost in Transduction: Transductive
Transfer Learning in Text Classification 13:1--13:21
Yangfan Li and
Kenli Li and
Cen Chen and
Xu Zhou and
Zeng Zeng and
Keqin Li Modeling Temporal Patterns with Dilated
Convolutions for Time-Series Forecasting 14:1--14:22
Keyu Yang and
Yunjun Gao and
Lei Liang and
Song Bian and
Lu Chen and
Baihua Zheng CrowdTC: Crowd-powered Learning for Text
Classification . . . . . . . . . . . . . 15:1--15:23
Haobing Liu and
Yanmin Zhu and
Tianzi Zang and
Yanan Xu and
Jiadi Yu and
Feilong Tang Jointly Modeling Heterogeneous Student
Behaviors and Interactions among
Multiple Prediction Tasks . . . . . . . 16:1--16:24
Wu Lee and
Yuliang Shi and
Hongfeng Sun and
Lin Cheng and
Kun Zhang and
Xinjun Wang and
Zhiyong Chen MSIPA: Multi-Scale Interval
Pattern-Aware Network for ICU Transfer
Prediction . . . . . . . . . . . . . . . 17:1--17:17
Min-Ling Zhang and
Jun-Peng Fang and
Yi-Bo Wang BiLabel-Specific Features for
Multi-Label Classification . . . . . . . 18:1--18:23
Bo Liu and
Haowen Zhong and
Yanshan Xiao New Multi-View Classification Method
with Uncertain Data . . . . . . . . . . 19:1--19:23
Gyoung S. Na and
Hyunju Chang Unsupervised Subspace Extraction via
Deep Kernelized Clustering . . . . . . . 20:1--20:15
Charu C. Aggarwal Communication from the Editor-in-Chief:
State of the \booktitleACM Transactions
on Knowledge Discovery from Data . . . . 21e:1--21e:2
Chunkai Zhang and
Zilin Du and
Yuting Yang and
Wensheng Gan and
Philip S. Yu On-Shelf Utility Mining of Sequence Data 21:1--21:31
Cong Tran and
Won-Yong Shin and
Andreas Spitz Community Detection in Partially
Observable Social Networks . . . . . . . 22:1--22:24
Zhao Li and
Junshuai Song and
Zehong Hu and
Zhen Wang and
Jun Gao Constrained Dual-Level Bandit for
Personalized Impression Regulation in
Online Ranking Systems . . . . . . . . . 23:1--23:23
Kevin O'hare and
Anna Jurek-Loughrey and
Cassio De Campos High-Value Token-Blocking: Efficient
Blocking Method for Record Linkage . . . 24:1--24:17
Ming Ding and
Tianyu Wang and
Xudong Wang Establishing Smartphone User Behavior
Model Based on Energy Consumption Data 25:1--25:40
João Saúde and
Guilherme Ramos and
Ludovico Boratto and
Carlos Caleiro A Robust Reputation-Based Group Ranking
System and Its Resistance to Bribery . . 26:1--26:35
Hanlu Wu and
Tengfei Ma and
Lingfei Wu and
Fangli Xu and
Shouling Ji Exploiting Heterogeneous Graph Neural
Networks with Latent Worker/Task
Correlation Information for Label
Aggregation in Crowdsourcing . . . . . . 27:1--27:18
Hui-Jia Li and
Lin Wang and
Zhan Bu and
Jie Cao and
Yong Shi Measuring the Network Vulnerability
Based on Markov Criticality . . . . . . 28:1--28:24
Guangtao Wang and
Gao Cong and
Ying Zhang and
Zhen Hai and
Jieping Ye A Synopsis Based Approach for Itemset
Frequency Estimation over Massive
Multi-Transaction Stream . . . . . . . . 29:1--29:30
Jianfei Yin and
Ruili Wang and
Yeqing Guo and
Yizhe Bai and
Shunda Ju and
Weili Liu and
Joshua Zhexue Huang Wealth Flow Model: Online Portfolio
Selection Based on Learning Wealth Flow
Matrices . . . . . . . . . . . . . . . . 30:1--30:27
Juan I. G. Hidalgo and
Silas G. T. C. Santos and
Roberto S. M. Barros Dynamically Adjusting Diversity in
Ensembles for the Classification of Data
Streams with Concept Drift . . . . . . . 31:1--31:20
Riccardo Cantini and
Fabrizio Marozzo and
Giovanni Bruno and
Paolo Trunfio Learning Sentence-to-Hashtags Semantic
Mapping for Hashtag Recommendation on
Microblogs . . . . . . . . . . . . . . . 32:1--32:26
Rediet Abebe and
T.-H. Hubert Chan and
Jon Kleinberg and
Zhibin Liang and
David Parkes and
Mauro Sozio and
Charalampos E. Tsourakakis Opinion Dynamics Optimization by Varying
Susceptibility to Persuasion via
Non-Convex Local Search . . . . . . . . 33:1--33:34
Yang Yang and
Hongchen Wei and
Zhen-Qiang Sun and
Guang-Yu Li and
Yuanchun Zhou and
Hui Xiong and
Jian Yang S2OSC: a Holistic Semi-Supervised
Approach for Open Set Classification . . 34:1--34:27
Yiding Zhang and
Xiao Wang and
Nian Liu and
Chuan Shi Embedding Heterogeneous Information
Network in Hyperbolic Spaces . . . . . . 35:1--35:23
Xueyuan Wang and
Hongpo Zhang and
Zongmin Wang and
Yaqiong Qiao and
Jiangtao Ma and
Honghua Dai Con&Net: a Cross-Network Anchor Link
Discovery Method Based on Embedding
Representation . . . . . . . . . . . . . 36:1--36:18
Hangbin Zhang and
Raymond K. Wong and
Victor W. Chu Hybrid Variational Autoencoder for
Recommender Systems . . . . . . . . . . 37:1--37:37
Lucas Santos De Oliveira and
Pedro O. S. Vaz-De-Melo and
Aline Carneiro Viana Assessing Large-Scale Power Relations
among Locations from Mobility Data . . . 38:1--38:31
Zhenyu Zhang and
Lei Zhang and
Dingqi Yang and
Liu Yang KRAN: Knowledge Refining Attention
Network for Recommendation . . . . . . . 39:1--39:20
Liang Zhao and
Yuyang Gao and
Jieping Ye and
Feng Chen and
Yanfang Ye and
Chang-Tien Lu and
Naren Ramakrishnan Spatio-Temporal Event Forecasting Using
Incremental Multi-Source Feature
Learning . . . . . . . . . . . . . . . . 40:1--40:28
Shuo Lei and
Xuchao Zhang and
Liang Zhao and
Arnold P. Boedihardjo and
Chang-Tien Lu Online and Distributed Robust
Regressions with Extremely Noisy Labels 41:1--41:24
Xingjian Li and
Haoyi Xiong and
Zeyu Chen and
Jun Huan and
Ji Liu and
Cheng-Zhong Xu and
Dejing Dou Knowledge Distillation with Attention
for Deep Transfer Learning of
Convolutional Networks . . . . . . . . . 42:1--42:20
Mona Nashaat and
Aindrila Ghosh and
James Miller and
Shaikh Quader Semi-Supervised Ensemble Learning for
Dealing with Inaccurate and Incomplete
Supervision . . . . . . . . . . . . . . 43:1--43:33
Ping Shao and
Yang Yang and
Shengyao Xu and
Chunping Wang Network Embedding via Motifs . . . . . . 44:1--44:20
Kun Kuang and
Hengtao Zhang and
Runze Wu and
Fei Wu and
Yueting Zhuang and
Aijun Zhang Balance-Subsampled Stable Prediction
Across Unknown Test Data . . . . . . . . 45:1--45:21
Ling Chen and
Xing Tang and
Weiqi Chen and
Yuntao Qian and
Yansheng Li and
Yongjun Zhang DACHA: a Dual Graph Convolution Based
Temporal Knowledge Graph Representation
Learning Method Using Historical
Relation . . . . . . . . . . . . . . . . 46:1--46:18
Huandong Wang and
Yong Li and
Junjie Lin and
Hancheng Cao and
Depeng Jin Context-Aware Semantic Annotation of
Mobility Records . . . . . . . . . . . . 47:1--47:20
Tian Shi and
Xuchao Zhang and
Ping Wang and
Chandan K. Reddy Corpus-level and Concept-based
Explanations for Interpretable Document
Classification . . . . . . . . . . . . . 48:1--48:17
Jie Feng and
Yong Li and
Ziqian Lin and
Can Rong and
Funing Sun and
Diansheng Guo and
Depeng Jin Context-aware Spatial-Temporal Neural
Network for Citywide Crowd Flow
Prediction via Modeling Long-range
Spatial Dependency . . . . . . . . . . . 49:1--49:21
Yang Zhou and
Jiaxiang Ren and
Ruoming Jin and
Zijie Zhang and
Jingyi Zheng and
Zhe Jiang and
Da Yan and
Dejing Dou Unsupervised Adversarial Network
Alignment with Reinforcement Learning 50:1--50:29
Youxi Wu and
Lanfang Luo and
Yan Li and
Lei Guo and
Philippe Fournier-Viger and
Xingquan Zhu and
Xindong Wu NTP-Miner: Nonoverlapping Three-Way
Sequential Pattern Mining . . . . . . . 51:1--51:21
Yuanchun Jiang and
Ruicheng Liang and
Ji Zhang and
Jianshan Sun and
Yezheng Liu and
Yang Qian Network Public Opinion Detection During
the Coronavirus Pandemic: a Short-Text
Relational Topic Model . . . . . . . . . 52:1--52:27
Heli Sun and
Yang Li and
Bing Lv and
Wujie Yan and
Liang He and
Shaojie Qiao and
Jianbin Huang Graph Community Infomax . . . . . . . . 53:1--53:21
Guliu Liu and
Lei Li and
Guanfeng Liu and
Xindong Wu Social Group Query Based on
Multi-Fuzzy-Constrained Strong
Simulation . . . . . . . . . . . . . . . 54:1--54:27
Shangsong Liang and
Zhuo Ouyang and
Zaiqiao Meng A Normalizing Flow-Based Co-Embedding
Model for Attributed Networks . . . . . 55:1--55:31
Yonghui Xu and
Shengjie Sun and
Huiguo Zhang and
Chang'an Yi and
Yuan Miao and
Dong Yang and
Xiaonan Meng and
Yi Hu and
Ke Wang and
Huaqing Min and
Hengjie Song and
Chuanyan Miao Time-Aware Graph Embedding: a Temporal
Smoothness and Task-Oriented Approach 56:1--56:23
Robert A. Sowah and
Bernard Kuditchar and
Godfrey A. Mills and
Amevi Acakpovi and
Raphael A. Twum and
Gifty Buah and
Robert Agboyi HCBST: an Efficient Hybrid Sampling
Technique for Class Imbalance Problems 57:1--57:37
Junchen Jin and
Mark Heimann and
Di Jin and
Danai Koutra Toward Understanding and Evaluating
Structural Node Embeddings . . . . . . . 58:1--58:32
Mengzhuo Guo and
Zhongzhi Xu and
Qingpeng Zhang and
Xiuwu Liao and
Jiapeng Liu Deciphering Feature Effects on
Decision-Making in Ordinal Regression
Problems: an Explainable Ordinal
Factorization Model . . . . . . . . . . 59:1--59:26
Jerry Chun-Wei Lin and
Youcef Djenouri and
Gautam Srivastava and
Yuanfa Li and
Philip S. Yu Scalable Mining of High-Utility
Sequential Patterns With Three-Tier
MapReduce Model . . . . . . . . . . . . 60:1--60:26
Manish Gupta and
Puneet Agrawal Compression of Deep Learning Models for
Text: a Survey . . . . . . . . . . . . . 61:1--61:55
Chang Liu and
Jie Yan and
Feiyue Guo and
Min Guo Forecasting the Market with Machine
Learning Algorithms: an Application of
NMC-BERT-LSTM-DQN-X Algorithm in
Quantitative Trading . . . . . . . . . . 62:1--62:22
Danlu Liu and
Yu Li and
William Baskett and
Dan Lin and
Chi-Ren Shyu RHPTree-Risk Hierarchical Pattern Tree
for Scalable Long Pattern Mining . . . . 63:1--63:33
Muyang Ma and
Pengjie Ren and
Zhumin Chen and
Zhaochun Ren and
Lifan Zhao and
Peiyu Liu and
Jun Ma and
Maarten de Rijke Mixed Information Flow for Cross-Domain
Sequential Recommendations . . . . . . . 64:1--64:32
Zhe Fu and
Li Yu and
Xi Niu TRACE: Travel Reinforcement
Recommendation Based on Location-Aware
Context Extraction . . . . . . . . . . . 65:1--65:22
Kui Yu and
Yajing Yang and
Wei Ding Causal Feature Selection with Missing
Data . . . . . . . . . . . . . . . . . . 66:1--66:24
Fei Gao and
Jiada Li and
Yisu Ge and
Jianwen Shao and
Shufang Lu and
Libo Weng A Trajectory Evaluator by Sub-tracks for
Detecting VOT-based Anomalous Trajectory 67:1--67:19
Fereshteh Jafariakinabad and
Kien A. Hua A Self-Supervised Representation
Learning of Sentence Structure for
Authorship Attribution . . . . . . . . . 68:1--68:16
Honghui Xu and
Zhipeng Cai and
Wei Li Privacy-Preserving Mechanisms for
Multi-Label Image Recognition . . . . . 69:1--69:21
Muhammad Abulaish and
Mohd Fazil and
Mohammed J. Zaki Domain-Specific Keyword Extraction Using
Joint Modeling of Local and Global
Contextual Semantics . . . . . . . . . . 70:1--70:30
Mu Yuan and
Lan Zhang and
Xiang-Yang Li and
Lin-Zhuo Yang and
Hui Xiong Adaptive Model Scheduling for
Resource-efficient Data Labeling . . . . 71:1--71:22
Min-Ling Zhang and
Jing-Han Wu and
Wei-Xuan Bao Disambiguation Enabled Linear
Discriminant Analysis for Partial Label
Dimensionality Reduction . . . . . . . . 72:1--72:18
Chenji Huang and
Yixiang Fang and
Xuemin Lin and
Xin Cao and
Wenjie Zhang ABLE: Meta-Path Prediction in
Heterogeneous Information Networks . . . 73:1--73:21
Junkun Yuan and
Anpeng Wu and
Kun Kuang and
Bo Li and
Runze Wu and
Fei Wu and
Lanfen Lin Auto IV: Counterfactual Prediction via
Automatic Instrumental Variable
Decomposition . . . . . . . . . . . . . 74:1--74:20
Siddharth Bhatia and
Rui Liu and
Bryan Hooi and
Minji Yoon and
Kijung Shin and
Christos Faloutsos Real-Time Anomaly Detection in Edge
Streams . . . . . . . . . . . . . . . . 75:1--75:22
Aida Sheshbolouki and
M. Tamer Özsu sGrapp: Butterfly Approximation in
Streaming Graphs . . . . . . . . . . . . 76:1--76:43
Hanrui Wu and
Michael K. Ng Multiple Graphs and Low-Rank Embedding
for Multi-Source Heterogeneous Domain
Adaptation . . . . . . . . . . . . . . . 77:1--77:25
Liudmila Prokhorenkova and
Alexey Tikhonov and
Nelly Litvak When Less Is More: Systematic Analysis
of Cascade-Based Community Detection . . 78:1--78:22
Xu Yang and
Chao Song and
Mengdi Yu and
Jiqing Gu and
Ming Liu Distributed Triangle Approximately
Counting Algorithms in Simple Graph
Stream . . . . . . . . . . . . . . . . . 79:1--79:43
Hanrui Wu and
Michael K. Ng Hypergraph Convolution on
Nodes-Hyperedges Network for
Semi-Supervised Node Classification . . 80:1--80:19
Yanyan Shen and
Baoyuan Ou and
Ranzhen Li MBN: Towards Multi-Behavior Sequence
Modeling for Next Basket Recommendation 81:1--81:23
Xiangyu Ke and
Arijit Khan and
Francesco Bonchi Multi-relation Graph Summarization . . . 82:1--82:30
Weirong Chen and
Jiaqi Zheng and
Haoyu Yu and
Guihai Chen and
Yixin Chen and
Dongsheng Li Online Learning Bipartite Matching with
Non-stationary Distributions . . . . . . 83:1--83:22
Koffi Eddy Ihou and
Manar Amayri and
Nizar Bouguila Stochastic Variational Optimization of a
Hierarchical Dirichlet Process Latent
Beta-Liouville Topic Model . . . . . . . 84:1--84:48
Athanasios Davvetas and
Iraklis A. Klampanos and
Spiros Skiadopoulos and
Vangelis Karkaletsis Evidence Transfer: Learning Improved
Representations According to External
Heterogeneous Task Outcomes . . . . . . 85:1--85:22
Aparna S. Varde Computational Estimation by Scientific
Data Mining with Classical Methods to
Automate Learning Strategies of
Scientists . . . . . . . . . . . . . . . 86:1--86:52
Peng Zhou and
Shu Zhao and
Yuanting Yan and
Xindong Wu Online Scalable Streaming Feature
Selection via Dynamic Decision . . . . . 87:1--87:20
Km Pooja and
Samrat Mondal and
Joydeep Chandra Exploiting Higher Order
Multi-dimensional Relationships with
Self-attention for Author Name
Disambiguation . . . . . . . . . . . . . 88:1--88:23
Shuyu Pei and
Kun Xie and
Xin Wang and
Gaogang Xie and
Kenli Li and
Wei Li and
Yanbiao Li and
Jigang Wen B$_h$BF: a Bloom Filter Using B$_h$
Sequences for Multi-set Membership Query 89:1--89:26
Ling Chen and
Hongyu Shi DexDeepFM: Ensemble Diversity Enhanced
Extreme Deep Factorization Machine Model 90:1--90:17
Shikha Singh and
Emilie Chouzenoux and
Giovanni Chierchia and
Angshul Majumdar Multi-label Deep Convolutional Transform
Learning for Non-intrusive Load
Monitoring . . . . . . . . . . . . . . . 91:1--91:6
Ryoma Sato and
Makoto Yamada and
Hisashi Kashima Constant Time Graph Neural Networks . . 92:1--92:31
Zhaolong Ling and
Kui Yu and
Lin Liu and
Jiuyong Li and
Yiwen Zhang and
Xindong Wu PSL: an Algorithm for Partial Bayesian
Network Structure Learning . . . . . . . 93:1--93:25
Ms Promila Sharma and
Uma Meena and
Girish Kumar Sharma Intelligent Data Analysis using
Optimized Support Vector Machine Based
Data Mining Approach for Tourism
Industry . . . . . . . . . . . . . . . . 94:1--94:20
Mengdi Huai and
Tianhang Zheng and
Chenglin Miao and
Liuyi Yao and
Aidong Zhang On the Robustness of Metric Learning: an
Adversarial Perspective . . . . . . . . 95:1--95:25
Zhaopeng Qiu and
Yunfan Hu and
Xian Wu Graph Neural News Recommendation with
User Existing and Potential Interest
Modeling . . . . . . . . . . . . . . . . 96:1--96:17
Kanika Goel and
Sander J. J. Leemans and
Niels Martin and
Moe T. Wynn Quality-Informed Process Mining: a Case
for Standardised Data Quality
Annotations . . . . . . . . . . . . . . 97:1--97:47
Hao Liu and
Qingyu Guo and
Hengshu Zhu and
Fuzhen Zhuang and
Shenwen Yang and
Dejing Dou and
Hui Xiong Who will Win the Data Science
Competition? Insights from KDD Cup 2019
and Beyond . . . . . . . . . . . . . . . 98:1--98:24
Saullo H. G. Oliveira and
André R. Gonçalves and
Fernando J. Von Zuben Asymmetric Multi-Task Learning with
Local Transference . . . . . . . . . . . 99:1--99:30
Sheng Zhong and
Vinicius M. A. Souza and
Abdullah Mueen Combining Filtering and
Cross-Correlation Efficiently for
Streaming Time Series . . . . . . . . . 100:1--100:24
Marcel Jirina and
Said Krayem The Distance Function Optimization for
the Near Neighbors-Based Classifiers . . 101:1--101:??
Fu Jie Tey and
Tin-Yu Wu and
Jiann-Liang Chen Machine Learning-based Short-term
Rainfall Prediction from Sky Data . . . 102:1--102:??
Reem A. Mahmoud and
Hazem Hajj Multi-objective Learning to Overcome
Catastrophic Forgetting in Time-series
Applications . . . . . . . . . . . . . . 103:1--103:??
Zhaobo Wang and
Yanmin Zhu and
Qiaomei Zhang and
Haobing Liu and
Chunyang Wang and
Tong Liu Graph-Enhanced Spatial-Temporal Network
for Next POI Recommendation . . . . . . 104:1--104:??
Sindhu Tipirneni and
Chandan K. Reddy Self-Supervised Transformer for Sparse
and Irregularly Sampled Multivariate
Clinical Time-Series . . . . . . . . . . 105:1--105:??
Shilin Gu and
Yuhua Qian and
Chenping Hou Incremental Feature Spaces Learning with
Label Scarcity . . . . . . . . . . . . . 106:1--106:??
Zhe Li and
Chunhua Sun and
Chunli Liu and
Xiayu Chen and
Meng Wang and
Yezheng Liu Dual-MGAN: an Efficient Approach for
Semi-supervised Outlier Detection with
Few Identified Anomalies . . . . . . . . 107:1--107:??
Yu Wang and
Hanghang Tong and
Ziye Zhu and
Yun Li Nested Named Entity Recognition: a
Survey . . . . . . . . . . . . . . . . . 108:1--108:??
Houping Xiao and
Shiyu Wang Toward Quality of Information Aware
Distributed Machine Learning . . . . . . 109:1--109:??
Jianghui Cai and
Yuqing Yang and
Haifeng Yang and
Xujun Zhao and
Jing Hao ARIS: a Noise Insensitive Data
Pre-Processing Scheme for Data Reduction
Using Influence Space . . . . . . . . . 110:1--110:??
Xiaoying Zhang and
Hong Xie and
John C. S. Lui Improving Bandit Learning Via
Heterogeneous Information Networks:
Algorithms and Applications . . . . . . 111:1--111:??
Derek Desantis and
Erik Skau and
Duc P. Truong and
Boian Alexandrov Factorization of Binary Matrices: Rank
Relations, Uniqueness and Model
Selection of Boolean Decomposition . . . 112:1--112:??
Xing Yang and
Chen Zhang and
Baihua Zheng Segment-Wise Time-Varying Dynamic
Bayesian Network with Graph
Regularization . . . . . . . . . . . . . 113:1--113:??
Shaowei Wang and
Lingling Zhang and
Xuan Luo and
Yi Yang and
Xin Hu and
Tao Qin and
Jun Liu Computer Science Diagram Understanding
with Topology Parsing . . . . . . . . . 114:1--114:??
Jun-Gi Jang and
Chaeheum Park and
Changwon Jang and
Geonsoo Kim and
U. Kang Finding Key Structures in MMORPG Graph
with Hierarchical Graph Summarization 115:1--115:??
Nengjun Zhu and
Jian Cao and
Xinjiang Lu and
Chuanren Liu and
Hao Liu and
Yanyan Li and
Xiangfeng Luo and
Hui Xiong Predicting a Person's Next Activity
Region with a Dynamic
Region-Relation-Aware Graph Neural
Network . . . . . . . . . . . . . . . . 116:1--116:??
Haoyi Xiong and
Ruosi Wan and
Jian Zhao and
Zeyu Chen and
Xingjian Li and
Zhanxing Zhu and
Jun Huan GrOD: Deep Learning with Gradients
Orthogonal Decomposition for Knowledge
Transfer, Distillation, and Adversarial
Training . . . . . . . . . . . . . . . . 117:1--117:??
Maya Benarous and
Eran Toch and
Irad Ben-gal Synthesis of Longitudinal Human Location
Sequences: Balancing Utility and Privacy 118:1--118:??
Michele Coscia Generalized Euclidean Measure to
Estimate Distances on Multilayer
Networks . . . . . . . . . . . . . . . . 119:1--119:??
Ilkay Yildiz and
Jennifer Dy and
Deniz Erdogmus and
Susan Ostmo and
J. Peter Campbell and
Michael F. Chiang and
Stratis Ioannidis Spectral Ranking Regression . . . . . . 120:1--120:??
Ziyue Li and
Hao Yan and
Fugee Tsung and
Ke Zhang Profile Decomposition Based Hybrid
Transfer Learning for Cold-Start Data
Anomaly Detection . . . . . . . . . . . 121:1--121:??
Yue Hu and
Ao Qu and
Yanbing Wang and
Daniel B. Work Streaming Data Preprocessing via Online
Tensor Recovery for Large Environmental
Sensor Networks . . . . . . . . . . . . 122:1--122:??
Pengfei Ma and
Youxi Wu and
Yan Li and
Lei Guo and
He Jiang and
Xingquan Zhu and
Xindong Wu HW-Forest: Deep Forest with Hashing
Screening and Window Screening . . . . . 123:1--123:??
Leonardo Pellegrina and
Cyrus Cousins and
Fabio Vandin and
Matteo Riondato MCRapper: Monte-Carlo Rademacher
Averages for Poset Families and
Approximate Pattern Mining . . . . . . . 124:1--124:??
Alessio Bechini and
Alessandro Bondielli and
José Luis Corcuera Bárcena and
Pietro Ducange and
Francesco Marcelloni and
Alessandro Renda A News-Based Framework for Uncovering
and Tracking City Area Profiles:
Assessment in Covid-19 Setting . . . . . 125:1--125:??
Ting-Yun Wang and
Chiao-Ting Chen and
Ju-Chun Huang and
Szu-Hao Huang Modeling Cross-session Information with
Multi-interest Graph Neural Networks for
the Next-item Recommendation . . . . . . 1:1--1:??
Yu Wang and
Chuan Chen and
Jinrong Lai and
Lele Fu and
Yuren Zhou and
Zibin Zheng A Self-Representation Method with Local
Similarity Preserving for Fast
Multi-View Outlier Detection . . . . . . 2:1--2:??
Ke Wang and
Yanmin Zhu and
Haobing Liu and
Tianzi Zang and
Chunyang Wang Learning Aspect-Aware High-Order
Representations from Ratings and Reviews
for Recommendation . . . . . . . . . . . 3:1--3:??
Zan Zhang and
Lin Liu and
Jiuyong Li and
Xindong Wu Integrating Global and Local Feature
Selection for Multi-Label Learning . . . 4:1--4:??
Xinye Chen and
Stefan Güttel An Efficient Aggregation Method for the
Symbolic Representation of Temporal Data 5:1--5:??
Lei Li and
Mengjiao Yan and
Zhenchao Tao and
Huanhuan Chen and
Xindong Wu Semi-Supervised Graph Pattern Matching
and Rematching for Expert Community
Location . . . . . . . . . . . . . . . . 6:1--6:??
Zhibin Gu and
Songhe Feng Individuality Meets Commonality: a
Unified Graph Learning Framework for
Multi-View Clustering . . . . . . . . . 7:1--7:??
Roshni Chakraborty and
Ritwika Das and
Joydeep Chandra SigGAN: Adversarial Model for Learning
Signed Relationships in Networks . . . . 8:1--8:??
Fuxian Li and
Jie Feng and
Huan Yan and
Guangyin Jin and
Fan Yang and
Funing Sun and
Depeng Jin and
Yong Li Dynamic Graph Convolutional Recurrent
Network for Traffic Prediction:
Benchmark and Solution . . . . . . . . . 9:1--9:??
Gengsen Huang and
Wensheng Gan and
Jian Weng and
Philip S. Yu US-Rule: Discovering Utility-driven
Sequential Rules . . . . . . . . . . . . 10:1--10:??
Jiapu Wang and
Boyue Wang and
Junbin Gao and
Yongli Hu and
Baocai Yin Multi-Concept Representation Learning
for Knowledge Graph Completion . . . . . 11:1--11:??
Nishadi Kirielle and
Peter Christen and
Thilina Ranbaduge Unsupervised Graph-Based Entity
Resolution for Complex Entities . . . . 12:1--12:??
Soonki Kwon and
Younghoon Lee Explainability-Based Mix-Up Approach for
Text Data Augmentation . . . . . . . . . 13:1--13:??
Qian Li and
Xiangmeng Wang and
Zhichao Wang and
Guandong Xu Be Causal: De-Biasing Social Network
Confounding in Recommendation . . . . . 14:1--14:??
Xiao Luo and
Haixin Wang and
Daqing Wu and
Chong Chen and
Minghua Deng and
Jianqiang Huang and
Xian-Sheng Hua A Survey on Deep Hashing Methods . . . . 15:1--15:??
Hung T. Nguyen and
Pierre J. Liang and
Leman Akoglu Detecting Anomalous Graphs in Labeled
Multi-Graph Databases . . . . . . . . . 16:1--16:??
Xun Lu and
Songhe Feng Structure Diversity-Induced Anchor Graph
Fusion for Multi-View Clustering . . . . 17:1--17:??
Lichen Wang and
Zhengming Ding and
Kasey Lee and
Seungju Han and
Jae-Joon Han and
Changkyu Choi and
Yun Fu Generative Multi-Label Correlation
Learning . . . . . . . . . . . . . . . . 18:1--18:??
Xun Lu and
Songhe Feng and
Gengyu Lyu and
Yi Jin and
Congyan Lang Distance-Preserving Embedding Adaptive
Bipartite Graph Multi-View Learning with
Application to Multi-Label
Classification . . . . . . . . . . . . . 19:1--19:??
Qianru Wang and
Bin Guo and
Lu Cheng and
Zhiwen Yu and
Huan Liu CausalSE: Understanding Varied Spatial
Effects with Missing Data Toward Adding
New Bike-sharing Stations . . . . . . . 20:1--20:??
Carlos Ivan Jerez and
Jun Zhang and
Marcia R. Silva On Equivalence of Anomaly Detection
Algorithms . . . . . . . . . . . . . . . 21:1--21:??
Nikolaos M. Freris and
Ahmad Ajalloeian and
Michalis Vlachos Interpretable Embedding and
Visualization of Compressed Data . . . . 22:1--22:??
Shaokang Wang and
Li Pan and
Yu Wu Meta-Information Fusion of Hierarchical
Semantics Dependency and Graph Structure
for Structured Text Classification . . . 23:1--23:??
Xuliang Zhu and
Xin Huang and
Longxu Sun and
Jiming Liu A Novel Graph Indexing Approach for
Uncovering Potential COVID-19
Transmission Clusters . . . . . . . . . 24:1--24:??
Adham Atyabi and
Frederick Shic and
Jiajun Jiang and
Claire E. Foster and
Erin Barney and
Minah Kim and
Beibin Li and
Pamela Ventola and
Chung Hao Chen Stratification of Children with Autism
Spectrum Disorder Through Fusion of
Temporal Information in Eye-gaze
Scan-Paths . . . . . . . . . . . . . . . 25:1--25:??
Hongjie Chen and
Ryan A. Rossi and
Kanak Mahadik and
Sungchul Kim and
Hoda Eldardiry Graph Deep Factors for Probabilistic
Time-series Forecasting . . . . . . . . 26:1--26:??
Akshita Jha and
Vineeth Rakesh and
Jaideep Chandrashekar and
Adithya Samavedhi and
Chandan K. Reddy Supervised Contrastive Learning for
Interpretable Long-Form Document
Matching . . . . . . . . . . . . . . . . 27:1--27:??
Catalina Vajiac and
Meng-Chieh Lee and
Aayushi Kulshrestha and
Sacha Levy and
Namyong Park and
Andreas Olligschlaeger and
Cara Jones and
Reihaneh Rabbany and
Christos Faloutsos DeltaShield: Information Theory for
Human- Trafficking Detection . . . . . . 28:1--28:??
Jianhui Sun and
Ying Yang and
Guangxu Xun and
Aidong Zhang Scheduling Hyperparameters to Improve
Generalization: From Centralized SGD to
Asynchronous SGD . . . . . . . . . . . . 29:1--29:??
Xiaoye Miao and
Huanhuan Peng and
Yunjun Gao and
Zongfu Zhang and
Jianwei Yin On Dynamically Pricing Crowdsourcing
Tasks . . . . . . . . . . . . . . . . . 30:1--30:??
Barakeel Fanseu Kamhoua and
Lin Zhang and
Kaili Ma and
James Cheng and
Bo Li and
Bo Han GRACE: a General Graph Convolution
Framework for Attributed Graph
Clustering . . . . . . . . . . . . . . . 31:1--31:??
Penglong Zhai and
Shihua Zhang Learnable Graph-Regularization for
Matrix Decomposition . . . . . . . . . . 32:1--32:??
Jinwei Chen and
Zefang Zong and
Yunlin Zhuang and
Huan Yan and
Depeng Jin and
Yong Li Reinforcement Learning for Practical
Express Systems with Mixed Deliveries
and Pickups . . . . . . . . . . . . . . 33:1--33:??
Tao Feng and
Sirui Song and
Tong Xia and
Yong Li Contact Tracing and Epidemic
Intervention via Deep Reinforcement
Learning . . . . . . . . . . . . . . . . 34:1--34:??
Mingyang Wan and
Daochen Zha and
Ninghao Liu and
Na Zou In-Processing Modeling Techniques for
Machine Learning Fairness: a Survey . . 35:1--35:??
Qiang Long and
Adil Bagirov and
Sona Taheri and
Nargiz Sultanova and
Xue Wu Methods and Applications of Clusterwise
Linear Regression: a Survey and
Comparison . . . . . . . . . . . . . . . 36:1--36:??
Youxi Wu and
Mingjie Chen and
Yan Li and
Jing Liu and
Zhao Li and
Jinyan Li and
Xindong Wu ONP-Miner: One-off Negative Sequential
Pattern Mining . . . . . . . . . . . . . 37:1--37:??
Vincenza Carchiolo and
Marco Grassia and
Alessandro Longheu and
Michele Malgeri and
Giuseppe Mangioni Efficient Node PageRank Improvement via
Link-building using Geometric Deep
Learning . . . . . . . . . . . . . . . . 38:1--38:??
Linli Jiang and
Chao-Xiong Chen and
Chao Chen L2MM: Learning to Map Matching with Deep
Models for Low-Quality GPS Trajectory
Data . . . . . . . . . . . . . . . . . . 39:1--39:??
Yihong Zhang and
Takahiro Hara Explainable Integration of Social Media
Background in a Dynamic Neural
Recommender . . . . . . . . . . . . . . 40:1--40:??
Yashen Wang and
Zhaoyu Wang and
Huanhuan Zhang and
Zhirun Liu Microblog Retrieval Based on
Concept-Enhanced Pre-Training Model . . 41:1--41:??
Xuemei Wei and
Yezheng Liu and
Jianshan Sun and
Yuanchun Jiang and
Qifeng Tang and
Kun Yuan Dual Subgraph-Based Graph Neural Network
for Friendship Prediction in
Location-Based Social Networks . . . . . 42:1--42:??
Xin Jiang and
Zhengxin Yu and
Chao Hai and
Hongbo Liu and
Xindong Wu and
Tomas Ward DNformer: Temporal Link Prediction with
Transfer Learning in Dynamic Networks 43:1--43:??
Aliya Aleryani and
Aaron Bostrom and
Wenjia Wang and
Beatriz Iglesia Multiple Imputation Ensembles for Time
Series (MIE-TS) . . . . . . . . . . . . 44:1--44:??
Dongjie Li and
Dong Li and
Guang Lian Variational Graph Autoencoder with
Adversarial Mutual Information Learning
for Network Representation Learning . . 45:1--45:??
Gongqing Wu and
Liangzhu Zhou and
Jiazhu Xia and
Lei Li and
Xianyu Bao and
Xindong Wu Crowdsourcing Truth Inference Based on
Label Confidence Clustering . . . . . . 46:1--46:??
Dhruv Sehnan and
Vasu Goel and
Sarah Masud and
Chhavi Jain and
Vikram Goyal and
Tanmoy Chakraborty DiVA: a Scalable, Interactive and
Customizable Visual Analytics Platform
for Information Diffusion on Large
Networks . . . . . . . . . . . . . . . . 47:1--47:??
Jinlong E. and
Mo Li and
Jianqiang Huang CrowdAtlas: Estimating Crowd
Distribution within the Urban Rail
Transit System . . . . . . . . . . . . . 48:1--48:??
Lei Yang and
Jiaming Huang and
Wanyu Lin and
Jiannong Cao Personalized Federated Learning on
Non-IID Data via Group-based
Meta-learning . . . . . . . . . . . . . 49:1--49:??
Judith Hermanns and
Konstantinos Skitsas and
Anton Tsitsulin and
Marina Munkhoeva and
Alexander Kyster and
Simon Nielsen and
Alexander M. Bronstein and
Davide Mottin and
Panagiotis Karras GRASP: Scalable Graph Alignment by
Spectral Corresponding Functions . . . . 50:1--50:??
Kazuki Nakajima and
Kazuyuki Shudo Random Walk Sampling in Social Networks
Involving Private Nodes . . . . . . . . 51:1--51:??
Changjian Shui and
William Wang and
Ihsen Hedhli and
Chi Man Wong and
Feng Wan and
Boyu Wang and
Christian Gagné Lifelong Online Learning from
Accumulated Knowledge . . . . . . . . . 52:1--52:??
Shaojie Dai and
Jinshuai Wang and
Chao Huang and
Yanwei Yu and
Junyu Dong Dynamic Multi-View Graph Neural Networks
for Citywide Traffic Inference . . . . . 53:1--53:??
Shuai Ling and
Zhe Yu and
Shaosheng Cao and
Haipeng Zhang and
Simon Hu STHAN: Transportation Demand Forecasting
with Compound Spatio-Temporal
Relationships . . . . . . . . . . . . . 54:1--54:??
Jiaying Liu and
Feng Xia and
Jing Ren and
Bo Xu and
Guansong Pang and
Lianhua Chi MIRROR: Mining Implicit Relationships
via Structure-Enhanced Graph
Convolutional Networks . . . . . . . . . 55:1--55:??
Zhi Liu and
Yang Chen and
Feng Xia and
Jixin Bian and
Bing Zhu and
Guojiang Shen and
Xiangjie Kong TAP: Traffic Accident Profiling via
Multi-Task Spatio-Temporal Graph
Representation Learning . . . . . . . . 56:1--56:??
Lei Chen and
Jie Cao and
Haicheng Tao and
Jia Wu Trip Reinforcement Recommendation with
Graph-based Representation Learning . . 57:1--57:??
Huiming Chen and
Huandong Wang and
Quanming Yao and
Yong Li and
Depeng Jin and
Qiang Yang LoSAC: an Efficient Local Stochastic
Average Control Method for Federated
Optimization . . . . . . . . . . . . . . 58:1--58:??
Mengyuan Jing and
Yanmin Zhu and
Yanan Xu and
Haobing Liu and
Tianzi Zang and
Chunyang Wang and
Jiadi Yu Learning Shared Representations for
Recommendation with Dynamic
Heterogeneous Graph Convolutional
Networks . . . . . . . . . . . . . . . . 59:1--59:??
Yizong Wang and
Dong Zhao and
Yajie Ren and
Desheng Zhang and
Huadong Ma SPAP: Simultaneous Demand Prediction and
Planning for Electric Vehicle Chargers
in a New City . . . . . . . . . . . . . 60:1--60:??
Dandan Lin and
Victor Junqiu Wei and
Raymond Chi-Wing Wong Effective and Scalable Manifold
Ranking-Based Image Retrieval with
Output Bound . . . . . . . . . . . . . . 61:1--61:??
Peng Zhou and
Xinwang Liu and
Liang Du and
Xuejun Li Self-paced Adaptive Bipartite Graph
Learning for Consensus Clustering . . . 62:1--62:??
Mengran Li and
Yong Zhang and
Xiaoyong Li and
Yuchen Zhang and
Baocai Yin Hypergraph Transformer Neural Networks 63:1--63:??
Haoran Li and
Zhiqiang Lv and
Jianbo Li and
Zhihao Xu and
Yue Wang and
Haokai Sun and
Zhaoyu Sheng Traffic Flow Forecasting in the
COVID-19: a Deep Spatial-temporal Model
Based on Discrete Wavelet Transformation 64:1--64:??
Gongqing Wu and
Xingrui Zhuo and
Xianyu Bao and
Xuegang Hu and
Richang Hong and
Xindong Wu Crowdsourcing Truth Inference via
Reliability-Driven Multi-View Graph
Embedding . . . . . . . . . . . . . . . 65:1--65:??
Jun-Gi Jang and
U. Kang Static and Streaming Tucker
Decomposition for Dense Tensors . . . . 66:1--66:??
Meng Wang and
Boyu Li and
Kun He and
John Hopcroft Uncovering the Local Hidden Community
Structure in Social Networks . . . . . . 67:1--67:??
Hao Liu and
Qingyu Guo and
Hengshu Zhu and
Yanjie Fu and
Fuzhen Zhuang and
Xiaojuan Ma and
Hui Xiong Characterizing and Forecasting Urban
Vibrancy Evolution: a Multi-View Graph
Mining Perspective . . . . . . . . . . . 68:1--68:??
Yuyang Ren and
Haonan Zhang and
Peng Yu and
Luoyi Fu and
Xinde Cao and
Xinbing Wang and
Guihai Chen and
Fei Long and
Chenghu Zhou Ada-MIP: Adaptive Self-supervised Graph
Representation Learning via Mutual
Information and Proximity Optimization 69:1--69:??
Zhibin Gu and
Songhe Feng and
Ruiting Hu and
Gengyu Lyu ONION: Joint Unsupervised Feature
Selection and Robust Subspace Extraction
for Graph-based Multi-View Clustering 70:1--70:??
Zhijie Zhang and
Wenzhong Li and
Wangxiang Ding and
Linming Zhang and
Qingning Lu and
Peng Hu and
Tong Gui and
Sanglu Lu STAD-GAN: Unsupervised Anomaly Detection
on Multivariate Time Series with
Self-training Generative Adversarial
Networks . . . . . . . . . . . . . . . . 71:1--71:??
Hongxin Wu and
Meng Han and
Zhiqiang Chen and
Muhang Li and
Xilong Zhang A Weighted Ensemble Classification
Algorithm Based on Nearest Neighbors for
Multi-Label Data Stream . . . . . . . . 72:1--72:??
Chunnan Wang and
Kaixin Zhang and
Hongzhi Wang and
Bozhou Chen Auto-STGCN: Autonomous Spatial-Temporal
Graph Convolutional Network Search . . . 73:1--73:??
Yufu Chen and
Yanghui Rao and
Shurui Chen and
Zhiqi Lei and
Haoran Xie and
Raymond Y. K. Lau and
Jian Yin Semi-Supervised Sentiment Classification
and Emotion Distribution Learning Across
Domains . . . . . . . . . . . . . . . . 74:1--74:??
Hui Tang and
Xun Liang and
Yuhui Guo and
Xiangping Zheng and
Bo Wu and
Sensen Zhang and
Zhiying Li Diffuse and Smooth: Beyond Truncated
Receptive Field for Scalable and
Adaptive Graph Representation Learning 75:1--75:??
Xiao Liu and
Bonan Gao and
Basem Suleiman and
Han You and
Zisu Ma and
Yu Liu and
Ali Anaissi Privacy-Preserving Personalized Fitness
Recommender System P$^3$FitRec: a
Multi-level Deep Learning Approach . . . 76:1--76:??
Jie Yang and
Zhixiao Wang and
Xiaobin Rui and
Yahui Chai and
Philip S. Yu and
Lichao Sun Triadic Closure Sensitive Influence
Maximization . . . . . . . . . . . . . . 77:1--77:??
Cyrus Cousins and
Chloe Wohlgemuth and
Matteo Riondato Bavarian: Betweenness Centrality
Approximation with Variance-aware
Rademacher Averages . . . . . . . . . . 78:1--78:??
Zeinab S. Jalali and
Qilan Chen and
Shwetha M. Srikanta and
Weixiang Wang and
Myunghwan Kim and
Hema Raghavan and
Sucheta Soundarajan Fairness of Information Flow in Social
Networks . . . . . . . . . . . . . . . . 79:1--79:??
Yunyi Li and
Yongjing Hao and
Pengpeng Zhao and
Guanfeng Liu and
Yanchi Liu and
Victor S. Sheng and
Xiaofang Zhou Edge-enhanced Global Disentangled Graph
Neural Network for Sequential
Recommendation . . . . . . . . . . . . . 80:1--80:??
Wenjie Feng and
Shenghua Liu and
Xueqi Cheng Hierarchical Dense Pattern Detection in
Tensors . . . . . . . . . . . . . . . . 81:1--81:??
Jingmin Huang and
Bowei Chen and
Zhi Yan and
Iadh Ounis and
Jun Wang GEO: a Computational Design Framework
for Automotive Exterior Facelift . . . . 82:1--82:??
Karandeep Singh and
Seungeon Lee and
Giuseppe (Joe) Labianca and
Jesse Michael Fagan and
Meeyoung Cha Multi-Stage Machine Learning Model for
Hierarchical Tie Valence Prediction . . 83:1--83:??
Sixing Su and
Jiewen Guan and
Bilian Chen and
Xin Huang Nonnegative Matrix Factorization Based
on Node Centrality for Community
Detection . . . . . . . . . . . . . . . 84:1--84:??
Yuxiang Wang and
Jun Liu and
Xiaoliang Xu and
Xiangyu Ke and
Tianxing Wu and
Xiaoxuan Gou Efficient and Effective Academic Expert
Finding on Heterogeneous Graphs through
$ (k, P) $-Core based Embedding . . . . 85:1--85:??
Yongjie Wang and
Ke Wang and
Cheng Long and
Chunyan Miao Summarizing User-item Matrix By Group
Utility Maximization . . . . . . . . . . 86:1--86:??
Peikun Ni and
Jianming Zhu and
Guoqing Wang Misinformation Blocking Problem in
Virtual and Real Interconversion Social
Networks . . . . . . . . . . . . . . . . 87:1--87:??
Jinjun Ren and
Yuping Wang and
Xiyan Deng Slack-Factor-Based Fuzzy Support Vector
Machine for Class Imbalance Problems . . 88:1--88:??
Lei Li and
Zhiyuan Liu and
Zan Zhang and
Huanhuan Chen and
Xindong Wu Three-way Preference Completion via
Preference Graph . . . . . . . . . . . . 89:1--89:??
Rashid Hussain Khokhar and
Benjamin C. M. Fung and
Farkhund Iqbal and
Khalil Al-Hussaeni and
Mohammed Hussain Differentially Private Release of
Heterogeneous Network for Managing
Healthcare Data . . . . . . . . . . . . 90:1--90:??
Mimi Zhang and
Andrew Parnell Review of Clustering Methods for
Functional Data . . . . . . . . . . . . 91:1--91:??
Ling Chen and
Dandan Lyu and
Shanshan Yu and
Gencai Chen Multi-Level Visual Similarity Based
Personalized Tourist Attraction
Recommendation Using Geo-Tagged Photos 92:1--92:??
Wanyue Xu and
Zhongzhi Zhang Optimal Scale-Free Small-World Graphs
with Minimum Scaling of Cover Time . . . 93:1--93:??
Paras Sheth and
Ruocheng Guo and
Lu Cheng and
Huan Liu and
Kasim Selçuk Candan Causal Disentanglement for Implicit
Recommendations with Network Information 94:1--94:??
Yihong Zhang and
Xiu Susie Fang and
Takahiro Hara Evolving Social Media Background
Representation with Frequency Weights
and Co-Occurrence Graphs . . . . . . . . 95:1--95:??
Huiru Li and
Liangxiao Jiang and
Siqing Xue Neighborhood Weighted Voting-Based Noise
Correction for Crowdsourcing . . . . . . 96:1--96:??
He Li and
Duo Jin and
Xuejiao Li and
Jianbin Huang and
Xiaoke Ma and
Jiangtao Cui and
Deshuang Huang and
Shaojie Qiao and
Jaesoo Yoo DMGF-Net: an Efficient Dynamic
Multi-Graph Fusion Network for Traffic
Prediction . . . . . . . . . . . . . . . 97:1--97:??
Boxiang Zhao and
Shuliang Wang and
Lianhua Chi and
Qi Li and
Xiaojia Liu and
Jing Geng Causal Discovery via Causal Star Graphs 98:1--98:??
Dexian Wang and
Tianrui Li and
Ping Deng and
Fan Zhang and
Wei Huang and
Pengfei Zhang and
Jia Liu A Generalized Deep Learning Clustering
Algorithm Based on Non-Negative Matrix
Factorization . . . . . . . . . . . . . 99:1--99:??
Tarun Kumer Biswas and
Alireza Abbasi and
Ripon Kumar Chakrabortty Robust Influence Maximization Under Both
Aleatory and Epistemic Uncertainty . . . 100:1--100:??
Yuhui Guo and
Xun Liang and
Bo Wu and
Xiangping Zheng and
Xuan Zhang Dual-aware Domain Mining and Cross-aware
Supervision for Weakly-supervised
Semantic Segmentation . . . . . . . . . 101:1--101:??
Jiezhu Cheng and
Kaizhu Huang and
Zibin Zheng Fitting Imbalanced Uncertainties in
Multi-output Time Series Forecasting . . 102:1--102:??
Xuanqi Zhang and
Qiangqiang Shen and
Yongyong Chen and
Guokai Zhang and
Zhongyun Hua and
Jingyong Su Multi-view Ensemble Clustering via
Low-rank and Sparse Decomposition: From
Matrix to Tensor . . . . . . . . . . . . 103:1--103:??
Sensen Zhang and
Xun Liang and
Hui Tang and
Xiangping Zheng and
Alex X. Zhang and
Yuefeng Ma DuCape: Dual Quaternion and Capsule
Network-Based Temporal Knowledge Graph
Embedding . . . . . . . . . . . . . . . 104:1--104:??
Hao Wang and
Bin Guo and
Jiaqi Liu and
Yasan Ding and
Zhiwen Yu Towards Informative and Diverse Dialogue
Systems Over Hierarchical Crowd
Intelligence Knowledge Graph . . . . . . 105:1--105:??
Mohamed Ragab and
Emadeldeen Eldele and
Wee Ling Tan and
Chuan-Sheng Foo and
Zhenghua Chen and
Min Wu and
Chee-Keong Kwoh and
Xiaoli Li ADATIME: a Benchmarking Suite for Domain
Adaptation on Time Series Data . . . . . 106:1--106:??
Ben Halstead and
Yun Sing Koh and
Patricia Riddle and
Mykola Pechenizkiy and
Albert Bifet Combining Diverse Meta-Features to
Accurately Identify Recurring Concept
Drift in Data Streams . . . . . . . . . 107:1--107:??
Linrui Shi and
Zheng Zhang and
Zizhu Fan and
Chao Xi and
Zhengming Li and
Gaochang Wu Kernel Fisher Dictionary Transfer
Learning . . . . . . . . . . . . . . . . 108:1--108:??
Heli Sun and
Miaomiao Sun and
Xuechun Liu and
Linlin Zhu and
Liang He and
Xiaolin Jia and
Yuan Chen Graph Neural Networks with Motisf-aware
for Tenuous Subgraph Finding . . . . . . 109:1--109:??
Likang Wu and
Hongke Zhao and
Zhi Li and
Zhenya Huang and
Qi Liu and
Enhong Chen Learning the Explainable Semantic
Relations via Unified Graph
Topic-Disentangled Neural Networks . . . 110:1--110:??
Bohan Jia and
Jian Cao and
Shiyou Qian and
Nengjun Zhu and
Xin Dong and
Liang Zhang and
Lei Cheng and
Linjian Mo SMONE: a Session-based Recommendation
Model Based on Neighbor Sessions with
Similar Probabilistic Intentions . . . . 111:1--111:??
Zohair Raza Hassan and
Sarwan Ali and
Imdadullah Khan and
Mudassir Shabbir and
Waseem Abbas Computing Graph Descriptors on Edge
Streams . . . . . . . . . . . . . . . . 112:1--112:??
Gerardo Canfora and
Francesco Mercaldo and
Antonella Santone A Novel Classification Technique based
on Formal Methods . . . . . . . . . . . 113:1--113:??
Bei Lin and
You Li and
Ning Gui and
Zhuopeng Xu and
Zhiwu Yu Multi-view Graph Representation Learning
Beyond Homophily . . . . . . . . . . . . 114:1--114:??
Etienne Gael Tajeuna and
Mohamed Bouguessa and
Shengrui Wang Modeling Regime Shifts in Multiple Time
Series . . . . . . . . . . . . . . . . . 115:1--115:??
Dan Shi and
Lei Zhu and
Xiao Dong and
Xuemeng Song and
Jingjing Li and
Zhiyong Cheng Adaptive Collaborative Soft Label
Learning for Unsupervised Multi-View
Feature Selection . . . . . . . . . . . 116:1--116:??
Hao Zhang and
Yewei Xia and
Kun Zhang and
Shuigeng Zhou and
Jihong Guan Conditional Independence Test Based on
Residual Similarity . . . . . . . . . . 117:1--117:??
Junkun Yuan and
Xu Ma and
Ruoxuan Xiong and
Mingming Gong and
Xiangyu Liu and
Fei Wu and
Lanfen Lin and
Kun Kuang Instrumental Variable-Driven Domain
Generalization with Unobserved
Confounders . . . . . . . . . . . . . . 118:1--118:??
Xi Qin and
Cheng Zhong and
Hai Xiang Lin Community-Based Influence Maximization
Using Network Embedding in Dynamic
Heterogeneous Social Networks . . . . . 119:1--119:??
Jiabo Zhuang and
Shunmei Meng and
Jing Zhang and
Victor S. Sheng Contrastive Learning Based Graph
Convolution Network for Social
Recommendation . . . . . . . . . . . . . 120:1--120:??
Liang Zhang and
Cheng Long Road Network Representation Learning: a
Dual Graph-based Approach . . . . . . . 121:1--121:??
Tahir Syed and
Behroz Mirza Self-supervision for Tabular Data by
Learning to Predict Additive
Homoskedastic Gaussian Noise as Pretext 122:1--122:??
Xiaona Li and
Zhu Wang and
Xindong Chen and
Bin Guo and
Zhiwen Yu A Hybrid Continuous-Time Dynamic Graph
Representation Learning Model by
Exploring Both Temporal and Repetitive
Information . . . . . . . . . . . . . . 123:1--123:??
Junjie Ou and
Haiming Jin and
Xiaocheng Wang and
Hao Jiang and
Xinbing Wang and
Chenghu Zhou STA-TCN: Spatial-temporal Attention over
Temporal Convolutional Network for Next
Point-of-interest Recommendation . . . . 124:1--124:??
Shaowei Jiang and
Wei He and
Lizhen Cui and
Yonghui Xu and
Lei Liu Modeling Long- and Short-Term User
Preferences via Self-Supervised Learning
for Next POI Recommendation . . . . . . 125:1--125:??
Jun-Gi Jang and
Sooyeon Shim and
Vladimir Egay and
Jeeyong Lee and
Jongmin Park and
Suhyun Chae and
U. Kang Accurate Open-Set Recognition for Memory
Workload . . . . . . . . . . . . . . . . 126:1--126:??
Meng Qin and
Chaorui Zhang and
Bo Bai and
Gong Zhang and
Dit-Yan Yeung Towards a Better Tradeoff between
Quality and Efficiency of Community
Detection: an Inductive Embedding Method
across Graphs . . . . . . . . . . . . . 127:1--127:??
Haoran Chen and
Xu Chen and
Hongwei Tao and
Zuhe Li and
Xiao Wang Low-rank Representation with Adaptive
Dimensionality Reduction via Manifold
Optimization for Clustering . . . . . . 128:1--128:??
Ye Liu and
Han Wu and
Zhenya Huang and
Hao Wang and
Yuting Ning and
Jianhui Ma and
Qi Liu and
Enhong Chen TechPat: Technical Phrase Extraction for
Patent Mining . . . . . . . . . . . . . 129:1--129:??
Chunyang Wang and
Yanmin Zhu and
Haobing Liu and
Tianzi Zang and
Ke Wang and
Jiadi Yu Multifaceted Relation-aware
Meta-learning with Dual Customization
for User Cold-start Recommendation . . . 130:1--130:??
Zhiwen Yu and
Minling Dang and
Qilong Wu and
Liming Chen and
Yujin Xie and
Yu Wang and
Bin Guo An Information Theory Based Method for
Quantifying the Predictability of Human
Mobility . . . . . . . . . . . . . . . . 131:1--131:??
Maryam Ramezani and
Aryan Ahadinia and
Amirmohammad Ziaei Bideh and
Hamid R. Rabiee Joint Inference of Diffusion and
Structure in Partially Observed Social
Networks Using Coupled Matrix
Factorization . . . . . . . . . . . . . 132:1--132:??
Yandi Li and
Haobo Gao and
Yunxuan Gao and
Jianxiong Guo and
Weili Wu A Survey on Influence Maximization: From
an ML-Based Combinatorial Optimization 133:1--133:??
Zan Zhang and
Zhe Zhang and
Jialu Yao and
Lin Liu and
Jiuyong Li and
Gongqing Wu and
Xindong Wu Multi-Label Feature Selection Via
Adaptive Label Correlation Estimation 134:1--134:??
Siyuan Ren and
Bin Guo and
Ke Li and
Qianru Wang and
Qinfen Wang and
Zhiwen Yu CoupledGT: Coupled Geospatial-temporal
Data Modeling for Air Quality Prediction 135:1--135:??
Youru Li and
Zhenfeng Zhu and
Xiaobo Guo and
Shaoshuai Li and
Yuchen Yang and
Yao Zhao HGV4Risk: Hierarchical Global
View-guided Sequence Representation
Learning for Risk Prediction . . . . . . 1:1--1:??
Daichi Amagata and
Takahiro Hara Efficient Density-peaks Clustering
Algorithms on Static and Dynamic Data in
Euclidean Space . . . . . . . . . . . . 2:1--2:??
Jiewen Deng and
Jinliang Deng and
Du Yin and
Renhe Jiang and
Xuan Song TTS-Norm: Forecasting Tensor Time Series
via Multi-Way Normalization . . . . . . 3:1--3:??
Alejandro Moreo and
Manuel Francisco and
Fabrizio Sebastiani Multi-Label Quantification . . . . . . . 4:1--4:??
Chunkai Zhang and
Yuting Yang and
Zilin Du and
Wensheng Gan and
Philip S. Yu HUSP-SP: Faster Utility Mining on
Sequence Data . . . . . . . . . . . . . 5:1--5:??
Zhaoliang Chen and
Lele Fu and
Shunxin Xiao and
Shiping Wang and
Claudia Plant and
Wenzhong Guo Multi-View Graph Convolutional Networks
with Differentiable Node Selection . . . 6:1--6:??
Fangyuan Luo and
Jun Wu and
Tao Wang Discrete Listwise Content-aware
Recommendation . . . . . . . . . . . . . 7:1--7:??
Huiyuan Li and
Li Yu and
Xi Niu and
Youfang Leng and
Qihan Du Sequential and Graphical Cross-Domain
Recommendations with a Multi-View
Hierarchical Transfer Gate . . . . . . . 8:1--8:??
Weiming Mai and
Jiangchao Yao and
Gong Chen and
Ya Zhang and
Yiu-Ming Cheung and
Bo Han Server-Client Collaborative Distillation
for Federated Reinforcement Learning . . 9:1--9:??
Yao Wu and
Jian Cao and
Guandong Xu Fairness in Recommender Systems:
Evaluation Approaches and Assurance
Strategies . . . . . . . . . . . . . . . 10:1--10:??
Huan Wang and
Guoquan Liu and
Po Hu TDAN: Transferable Domain Adversarial
Network for Link Prediction in
Heterogeneous Social Networks . . . . . 11:1--11:??
Silvia Corbara and
Alejandro Moreo and
Fabrizio Sebastiani Same or Different? Diff-Vectors for
Authorship Analysis . . . . . . . . . . 12:1--12:??
Jincheng Huang and
Ping Li and
Rui Huang and
Na Chen and
Acong Zhang Revisiting the Role of Heterophily in
Graph Representation Learning: an Edge
Classification Perspective . . . . . . . 13:1--13:??
Xiao Luo and
Daqing Wu and
Yiyang Gu and
Chong Chen and
Luchen Liu and
Jinwen Ma and
Ming Zhang and
Minghua Deng and
Jianqiang Huang and
Xian-Sheng Hua Criterion-based Heterogeneous
Collaborative Filtering for
Multi-behavior Implicit Recommendation 14:1--14:??
Huiting Liu and
Yu Zhang and
Peipei Li and
Cheng Qian and
Peng Zhao and
Xindong Wu DeepCPR: Deep Path Reasoning Using
Sequence of User-Preferred Attributes
for Conversational Recommendation . . . 15:1--15:??
Qiuyue Zhang and
Yunfeng Zhang and
Xunxiang Yao and
Shilong Li and
Caiming Zhang and
Peide Liu A Dynamic Attributes-driven Graph
Attention Network Modeling on Behavioral
Finance for Stock Prediction . . . . . . 16:1--16:??
Anjan Chowdhury and
Sriram Srinivasan and
Animesh Mukherjee and
Sanjukta Bhowmick and
Kuntal Ghosh Improving Node Classification Accuracy
of GNN through Input and Output
Intervention . . . . . . . . . . . . . . 17:1--17:??
Ke-Jia Chen and
Linsong Liu and
Linpu Jiang and
Jingqiang Chen Self-Supervised Dynamic Graph
Representation Learning via Temporal
Subgraph Contrast . . . . . . . . . . . 18:1--18:??
Yan Sun and
Yi Han and
Jicong Fan Laplacian-based Cluster-Contractive
$t$-SNE for High-Dimensional Data
Visualization . . . . . . . . . . . . . 19:1--19:??
Yong-Feng Ge and
Elisa Bertino and
Hua Wang and
Jinli Cao and
Yanchun Zhang Distributed Cooperative Coevolution of
Data Publishing Privacy and Transparency 20:1--20:??
Sofia Strukova and
José A. Ruipérez-Valiente and
Félix Gómez Mármol Adapting Knowledge Inference Algorithms
to Measure Geometry Competencies through
a Puzzle Game . . . . . . . . . . . . . 21:1--21:??
Bo Liu and
Liangjiao Li and
Yanshan Xiao and
Kai Wang and
Jian Hu and
Junrui Liu and
Qihang Chen and
Ruiguang Huang An Efficient Transfer Learning Method
with Auxiliary Information . . . . . . . 22:1--22:??
Zhong Li and
Yuxuan Zhu and
Matthijs Van Leeuwen A Survey on Explainable Anomaly
Detection . . . . . . . . . . . . . . . 23:1--23:??
Meng Jiang Transfer Learning across Graph
Convolutional Networks: Methods, Theory,
and Applications . . . . . . . . . . . . 24:1--24:??
Lizhen Wang and
Vanha Tran and
Thanhcong Do A Clique-Querying Mining Framework for
Discovering High Utility Co-Location
Patterns without Generating Candidates 25:1--25:??
Zhe Fu and
Xi Niu Modeling Users' Curiosity in Recommender
Systems . . . . . . . . . . . . . . . . 26:1--26:??
Hui-Jia Li and
Yuhao Feng and
Chengyi Xia and
Jie Cao Overlapping Graph Clustering in
Attributed Networks via Generalized
Cluster Potential Game . . . . . . . . . 27:1--27:??
Yu Liu and
Zhilun Zhou and
Yong Li and
Depeng Jin Urban Knowledge Graph Aided Mobile User
Profiling . . . . . . . . . . . . . . . 28:1--28:??
Lin Kaibiao and
Jinpo Chen and
Chen Ruicong and
Yang Fan and
Zhang Yang and
Lin Min and
Lu Ping Adaptive Neighbor Graph Aggregated Graph
Attention Network for Heterogeneous
Graph Embedding . . . . . . . . . . . . 29:1--29:??
Yashen Wang and
Xiaoye Ouyang and
Dayu Guo and
Xiaoling Zhu MEGA: Meta-Graph Augmented Pre-Training
Model for Knowledge Graph Completion . . 30:1--30:??
Xiang Wang and
Liping Jing and
Huafeng Liu and
Jian Yu Structure-Driven Representation Learning
for Deep Clustering . . . . . . . . . . 1--25
Md. Tanvir Alam and
Chowdhury Farhan Ahmed and
Md. Samiullah and
Carson Kai-Sang Leung Discovering Interesting Patterns from
Hypergraphs . . . . . . . . . . . . . . 1--34
Fangfang Li and
Zhi Liu and
Junwen Duan and
Xingliang Mao and
Heyuan Shi and
Shichao Zhang Exploiting Conversation-Branch-Tweet
HyperGraph Structure to Detect
Misinformation on Social Media . . . . . 33:1--33:??
Xiao Luo and
Wei Ju and
Yiyang Gu and
Zhengyang Mao and
Luchen Liu and
Yuhui Yuan and
Ming Zhang Self-supervised Graph-level
Representation Learning with Adversarial
Contrastive Learning . . . . . . . . . . 34:1--34:??
Benjamin A. Miller and
Zohair Shafi and
Wheeler Ruml and
Yevgeniy Vorobeychik and
Tina Eliassi-Rad and
Scott Alfeld Attacking Shortest Paths by Cutting
Edges . . . . . . . . . . . . . . . . . 35:1--35:??
Francesco Spinnato and
Riccardo Guidotti and
Anna Monreale and
Mirco Nanni and
Dino Pedreschi and
Fosca Giannotti Understanding Any Time Series Classifier
with a Subsequence-based Explainer . . . 36:1--36:??
Kui Yu and
Zhaolong Ling and
Lin Liu and
Peipei Li and
Hao Wang and
Jiuyong Li Feature Selection for Efficient
Local-to-global Bayesian Network
Structure Learning . . . . . . . . . . . 37:1--37:??
Ruichu Cai and
Fengzhu Wu and
Zijian Li and
Jie Qiao and
Wei Chen and
Yuexing Hao and
Hao Gu REST: Debiased Social Recommendation via
Reconstructing Exposure Strategies . . . 38:1--38:??
Xiaoqing Ye and
Yang Sun and
Dun Liu and
Tianrui Li A Multisource Data Fusion-based
Heterogeneous Graph Attention Network
for Competitor Prediction . . . . . . . 39:1--39:??
Taolin Zhang and
Chengyuan Mai and
Yaomin Chang and
Chuan Chen and
Lin Shu and
Zibin Zheng FedEgo: Privacy-preserving Personalized
Federated Graph Learning with Ego-graphs 40:1--40:??
Xiangkui Lu and
Jun Wu and
Junheng Huang and
Fangyuan Luo and
Jianbo Yuan Co-Training-Teaching: a Robust
Semi-Supervised Framework for
Review-Aware Rating Regression . . . . . 41:1--41:??
Ahmad Zareie and
Rizos Sakellariou Maximizing the Diversity of Exposure in
Online Social Networks by Identifying
Users with Increased Susceptibility to
Persuasion . . . . . . . . . . . . . . . 42:1--42:??
Hui Xu and
Liyao Xiang and
Junjie Ou and
Yuting Weng and
Xinbing Wang and
Chenghu Zhou Open-World Graph Active Learning for
Node Classification . . . . . . . . . . 43:1--43:??
Ying Chen and
Siwei Qiang and
Mingming Ha and
Xiaolei Liu and
Shaoshuai Li and
Jiabi Tong and
Lingfeng Yuan and
Xiaobo Guo and
Zhenfeng Zhu Semi-Supervised Heterogeneous Graph
Learning with Multi-Level Data
Augmentation . . . . . . . . . . . . . . 44:1--44:??
Huan Wang and
Ruigang Liu and
Chuanqi Shi and
Junyang Chen and
Lei Fang and
Shun Liu and
Zhiguo Gong Resisting the Edge-Type Disturbance for
Link Prediction in Heterogeneous
Networks . . . . . . . . . . . . . . . . 45:1--45:??
Xiaoting Li and
Lingwei Chen and
Dinghao Wu Adversary for Social Good: Leveraging
Adversarial Attacks to Protect Personal
Attribute Privacy . . . . . . . . . . . 46:1--46:??
Bo Yan and
Cheng Yang and
Chuan Shi and
Yong Fang and
Qi Li and
Yanfang Ye and
Junping Du Graph Mining for Cybersecurity: a Survey 47:1--47:??
Qiang Huang and
Jing Ma and
Jundong Li and
Ruocheng Guo and
Huiyan Sun and
Yi Chang Modeling Interference for Individual
Treatment Effect Estimation from
Networked Observational Data . . . . . . 48:1--48:??
Vladimiro González-Zelaya and
Julián Salas and
David Megías and
Paolo Missier Fair and Private Data Preprocessing
through Microaggregation . . . . . . . . 49:1--49:??
Ling Cheng and
Feida Zhu and
Yong Wang and
Ruicheng Liang and
Huiwen Liu From Asset Flow to Status, Action, and
Intention Discovery: Early Malice
Detection in Cryptocurrency . . . . . . 50:1--50:??
Yimin Huang and
Wanwan Wang and
Xingying Zhao and
Yukun Wang and
Xinyu Feng and
Hao He and
Ming Yao EFMVFL: an Efficient and Flexible
Multi-party Vertical Federated Learning
without a Third Party . . . . . . . . . 51:1--51:??
Leonardo Pellegrina and
Fabio Vandin SILVAN: Estimating Betweenness
Centralities with Progressive Sampling
and Non-uniform Rademacher Bounds . . . 52:1--52:??
Tong Xia and
Yong Li and
Yunhan Qi and
Jie Feng and
Fengli Xu and
Funing Sun and
Diansheng Guo and
Depeng Jin History-enhanced and Uncertainty-aware
Trajectory Recovery via Attentive Neural
Network . . . . . . . . . . . . . . . . 53:1--53:??
Xiang Ao and
Ling Luo and
Xiting Wang and
Zhao Yang and
Jiun-Hung Chen and
Ying Qiao and
Qing He and
Xing Xie Put Your Voice on Stage: Personalized
Headline Generation for News Articles 54:1--54:??
Ling Chen and
Jiahui Xu and
Binqing Wu and
Jianlong Huang Group-Aware Graph Neural Network for
Nationwide City Air Quality Forecasting 55:1--55:??
Yunji Liang and
Lei Liu and
Luwen Huangfu and
Sagar Samtani and
Zhiwen Yu and
Daniel D. Zeng Learning Entangled Interactions of
Complex Causality via Self-Paced
Contrastive Learning . . . . . . . . . . 56:1--56:??
Chi-Wei Hsu and
Chiao-Ting Chen and
Szu-Hao Huang Adaptive Adversarial Contrastive
Learning for Cross-Domain Recommendation 57:1--57:??
Weitong Ou and
Bo Chen and
Xinyi Dai and
Weinan Zhang and
Weiwen Liu and
Ruiming Tang and
Yong Yu A Survey on Bid Optimization in
Real-Time Bidding Display Advertising 58:1--58:??
Li Ni and
Hefei Xu and
Yiwen Zhang and
Wenjian Luo and
Yingying Huang and
Victor S. Sheng Local Overlapping Spatial-aware
Community Detection . . . . . . . . . . 59:1--59:??
Ruichu Cai and
Fengzhu Wu and
Zijian Li and
Pengfei Wei and
Lingling Yi and
Kun Zhang Graph Domain Adaptation: a Generative
View . . . . . . . . . . . . . . . . . . 60:1--60:??
Cong Su and
Guoxian Yu and
Yongqing Zheng and
Jun Wang and
Zhengtian Wu and
Xiangliang Zhang and
Carlotta Domeniconi Causality-Based Fair Multiple Decision
by Response Functions . . . . . . . . . 61:1--61:??
Di Han and
Yifan Huang and
Junmin Liu and
Kai Liao and
Kunling Lin LSAB: User Behavioral Pattern Modeling
in Sequential Recommendation by Learning
Self-Attention Bias . . . . . . . . . . 62:1--62:??
Shenyang Huang and
Samy Coulombe and
Yasmeen Hitti and
Reihaneh Rabbany and
Guillaume Rabusseau Laplacian Change Point Detection for
Single and Multi-view Dynamic Graphs . . 63:1--63:??
Swapnil Saha and
Hafiz Imtiaz Privacy-Preserving Non-Negative Matrix
Factorization with Outliers . . . . . . 64:1--64:??
Ming-Chuan Yang and
Guo-Wei Wong and
Meng Chang Chen Sparse Grid Imputation Using Unpaired
Imprecise Auxiliary Data: Theory and
Application to PM2.5 Estimation . . . . 65:1--65:??
Han Zhao and
Xu Yang and
Cheng Deng Parameter-Agnostic Deep Graph Clustering 66:1--66:??
Song Wang and
Yushun Dong and
Xiao Huang and
Chen Chen and
Jundong Li Learning Hierarchical Task Structures
for Few-shot Graph Classification . . . 67:1--67:??
Huan Rong and
Xin Yu and
Tinghuai Ma and
Victor S. Sheng and
Yang Zhou and
Al-Rodhaan Mznah Three-stage Transferable and Generative
Crowdsourced Comment Integration
Framework Based on Zero- and Few-shot
Learning with Domain Distribution
Alignment . . . . . . . . . . . . . . . 68:1--68:??
Luciano Di Palma and
Yanlei Diao and
Anna Liu Efficient Version Space Algorithms for
Human-in-the-loop Model Development . . 69:1--69:??
Sindhu Tipirneni and
Ming Zhu and
Chandan K. Reddy StructCoder: Structure-Aware Transformer
for Code Generation . . . . . . . . . . 70:1--70:??
Wei Fan and
Yanjie Fu and
Shun Zheng and
Jiang Bian and
Yuanchun Zhou and
Hui Xiong DEWP: Deep Expansion Learning for Wind
Power Forecasting . . . . . . . . . . . 71:1--71:??
Zhe Liu and
Sukumar Letchmunan Enhanced Fuzzy Clustering for Incomplete
Instance with Evidence Combination . . . 72:1--72:??
Meng Jian and
Yulong Bai and
Jingjing Guo and
Lifang Wu Swarm Self-supervised Hypergraph
Embedding for Recommendation . . . . . . 73:1--73:??
Wentao Wang and
Huifang Ma and
Yan Zhao and
Zhixin Li Pre-training Question Embeddings for
Improving Knowledge Tracing with
Self-supervised Bi-graph Co-contrastive
Learning . . . . . . . . . . . . . . . . 74:1--74:??
Minghao Piao and
Yi Sheng and
Jinda Yan and
Cheng Hao Jin Image Hash Layer Triggered CNN Framework
for Wafer Map Failure Pattern Retrieval
and Classification . . . . . . . . . . . 75:1--75:??
Meng Xiao and
Dongjie Wang and
Min Wu and
Kunpeng Liu and
Hui Xiong and
Yuanchun Zhou and
Yanjie Fu Traceable Group-Wise Self-Optimizing
Feature Transformation Learning: a Dual
Optimization Perspective . . . . . . . . 76:1--76:??
Ximing Li and
Bing Wang and
Yang Wang and
Meng Wang Graph-based Text Classification by
Contrastive Learning with Text-level
Graph Augmentation . . . . . . . . . . . 77:1--77:??
Tengfei Liu and
Yongli Hu and
Junbin Gao and
Yanfeng Sun and
Baocai Yin Cross-modal Multiple Granularity
Interactive Fusion Network for Long
Document Classification . . . . . . . . 78:1--78:??
Mustafa Bozdag and
Nurullah Sevim and
Aykut Koç Measuring and Mitigating Gender Bias in
Legal Contextualized Language Models . . 79:1--79:??
Chunkai Zhang and
Maohua Lyu and
Wensheng Gan and
Philip S. Yu Totally-ordered Sequential Rules for
Utility Maximization . . . . . . . . . . 80:1--80:??
Yi Yang and
Zhong-Qiu Zhao and
Gongqing Wu and
Xingrui Zhuo and
Qing Liu and
Quan Bai and
Weihua Li A Lightweight, Effective, and Efficient
Model for Label Aggregation in
Crowdsourcing . . . . . . . . . . . . . 81:1--81:??
Shengyu Feng and
Baoyu Jing and
Yada Zhu and
Hanghang Tong ArieL: Adversarial Graph Contrastive
Learning . . . . . . . . . . . . . . . . 82:1--82:??
Kaize Ding and
Jianling Wang and
Jundong Li and
James Caverlee and
Huan Liu Robust Graph Meta-Learning for Weakly
Supervised Few-Shot Node Classification 83:1--83:??
Weiyao Zhu and
Ou Wu and
Fengguang Su and
Yingjun Deng Exploring the Learning Difficulty of
Data: Theory and Measure . . . . . . . . 84:1--84:??
Wei Chen and
Chao Huang and
Yanwei Yu and
Yongguo Jiang and
Junyu Dong Trajectory-User Linking via Hierarchical
Spatio-Temporal Attention Networks . . . 85:1--85:??
Gang Liu and
Eric Inae and
Tengfei Luo and
Meng Jiang Rationalizing Graph Neural Networks with
Data Augmentation . . . . . . . . . . . 86:1--86:??
Chao Long and
Huanhuan Yuan and
Junhua Fang and
Xuefeng Xian and
Guanfeng Liu and
Victor S. Sheng and
Pengpeng Zhao Learning Global and Multi-granularity
Local Representation with MLP for
Sequential Recommendation . . . . . . . 87:1--87:??
Hui Xu and
Liyao Xiang and
Xiaoying Gan and
Luoyi Fu and
Xinbing Wang and
Chenghu Zhou Distributional Learning for Network
Alignment with Global Constraints . . . 88:1--88:??
Guixian Zhang and
Shichao Zhang and
Guan Yuan Bayesian Graph Local Extrema Convolution
with Long-tail Strategy for
Misinformation Detection . . . . . . . . 89:1--89:??
Senlin Shu and
Deng-Bao Wang and
Suqin Yuan and
Hongxin Wei and
Jiuchuan Jiang and
Lei Feng and
Min-Ling Zhang Multiple-instance Learning from Triplet
Comparison Bags . . . . . . . . . . . . 90:1--90:??
Yilin Wang and
Sha Zhao and
Shiwei Zhao and
Runze Wu and
Yuhong Xu and
Jianrong Tao and
Tangjie Lv and
Shijian Li and
Zhipeng Hu and
Gang Pan PU-Detector: a PU Learning-based
Framework for Real Money Trading
Detection in MMORPG . . . . . . . . . . 91:1--91:??
Yuhong Zhang and
Jianqing Wu and
Kui Yu and
Xindong Wu Diverse Structure-Aware Relation
Representation in Cross-Lingual Entity
Alignment . . . . . . . . . . . . . . . 92:1--92:??
Dakshi Kapugama Geeganage and
Yue Xu and
Yuefeng Li A Semantics-enhanced Topic Modelling
Technique: Semantic-LDA . . . . . . . . 93:1--93:??
Yuyang Ren and
Haonan Zhang and
Luoyi Fu and
Shiyu Liang and
Lei Zhou and
Xinbing Wang and
Xinde Cao and
Fei Long and
Chenghu Zhou Hi-PART: Going Beyond Graph Pooling with
Hierarchical Partition Tree for
Graph-Level Representation Learning . . 94:1--94:??
Oana Balalau and
Francesco Bonchi and
T-H. Hubert Chan and
Francesco Gullo and
Mauro Sozio and
Hao Xie Finding Subgraphs with Maximum Total
Density and Limited Overlap in Weighted
Hypergraphs . . . . . . . . . . . . . . 95:1--95:??
Jinpeng Li and
Hang Yu and
Zhenyu Zhang and
Xiangfeng Luo and
Shaorong Xie Concept Drift Adaptation by Exploiting
Drift Type . . . . . . . . . . . . . . . 96:1--96:??
Feng Xiao and
Youfa Liu and
Jia Shao NNC-GCN: Neighbours-to-Neighbours
Contrastive Graph Convolutional Network
for Semi-Supervised Classification . . . 97:1--97:??
Jinrong Lai and
Tong Wang and
Chuan Chen and
Zibin Zheng Information-aware Multi-view Outlier
Detection . . . . . . . . . . . . . . . 98:1--98:??
Jingke Tu and
Jiaming Huang and
Lei Yang and
Wanyu Lin Personalized Federated Learning with
Layer-Wise Feature Transformation via
Meta-Learning . . . . . . . . . . . . . 99:1--99:??
Mehak Khan and
Gustavo B. M. Mello and
Laurence Habib and
Paal Engelstad and
Anis Yazidi HITS-based Propagation Paradigm for
Graph Neural Networks . . . . . . . . . 100:1--100:??
Pouya Ghahramanian and
Sepehr Bakhshi and
Hamed Bonab and
Fazli Can A Novel Neural Ensemble Architecture for
On-the-fly Classification of Evolving
Text Streams . . . . . . . . . . . . . . 101:1--101:??
Ying Zhang and
Zhiqiang Zhao and
Zhuo Feng diGRASS: Directed Graph Spectral
Sparsification via Spectrum-Preserving
Symmetrization . . . . . . . . . . . . . 102:1--102:??
Yicheng Pan and
Yifan Zhang and
Xinrui Jiang and
Meng Ma and
Ping Wang EffCause: Discover Dynamic Causal
Relationships Efficiently from
Time-Series . . . . . . . . . . . . . . 105:1--105:??
Kai-Lang Yao and
Wu-Jun Li Asymmetric Learning for Graph Neural
Network based Link Prediction . . . . . 106:1--106:??
Xiaobo Guo and
Mingming Ha and
Xuewen Tao and
Shaoshuai Li and
Youru Li and
Zhenfeng Zhu and
Zhiyong Shen and
Li Ma Multi-Task Learning with Sequential
Dependence Toward Industrial
Applications: a Systematic Formulation 107:1--107:??
Lei Zhang and
Yong Liu and
Zhiwei Zeng and
Yiming Cao and
Xingyu Wu and
Yonghui Xu and
Zhiqi Shen and
Lizhen Cui Package Arrival Time Prediction via
Knowledge Distillation Graph Neural
Network . . . . . . . . . . . . . . . . 108:1--108:??
Chuan-Wei Kuo and
Bo-Yu Chen and
Wen-Chih Peng and
Chih-Chieh Hung and
Hsin-Ning Su Correlation-aware Graph Data
Augmentation with Implicit and Explicit
Neighbors . . . . . . . . . . . . . . . 109:1--109:??
Mingxing Duan and
Kenli Li and
Weinan Zhang and
Jiarui Qin and
Bin Xiao Attacking Click-through Rate Predictors
via Generating Realistic Fake Samples 110:1--110:??
Samira Khodabandehlou and
Alireza Hashemi Golpayegani FiFrauD: Unsupervised Financial Fraud
Detection in Dynamic Graph Streams . . . 111:1--111:??
Jianshan Sun and
Suyuan Mei and
Kun Yuan and
Yuanchun Jiang and
Jie Cao Prerequisite-Enhanced Category-Aware
Graph Neural Networks for Course
Recommendation . . . . . . . . . . . . . 112:1--112:??
Songgaojun Deng and
Olivier Sprangers and
Ming Li and
Sebastian Schelter and
Maarten de Rijke Domain Generalization in Time Series
Forecasting . . . . . . . . . . . . . . 113:1--113:??
Gengsen Huang and
Wensheng Gan and
Philip S. Yu TaSPM: Targeted Sequential Pattern
Mining . . . . . . . . . . . . . . . . . 114:1--114:??
Yichen Zhu and
Bo Jiang and
Haiming Jin and
Mengtian Zhang and
Feng Gao and
Jianqiang Huang and
Tao Lin and
Xinbing Wang Networked Time-series Prediction with
Incomplete Data via Generative
Adversarial Network . . . . . . . . . . 115:1--115:??
Huan Rong and
Minfeng Qian and
Tinghuai Ma and
Di Jin and
Victor S. Sheng CoBjeason: Reasoning Covered Object in
Image by Multi-Agent Collaboration Based
on Informed Knowledge Graph . . . . . . 116:1--116:??
Pradumn Kumar Pandey and
Aikta Arya and
Akrati Saxena X-distribution: Retraceable Power-law
Exponent of Complex Networks . . . . . . 117:1--117:??
Sajedeh Moradnia and
Mousa Golalizadeh Supervised Clustering of Persian
Handwritten Images Using Regularization
and Dimension Reduction Methods . . . . 118:1--118:??
Hongjie Chen and
Hoda Eldardiry Graph Time-series Modeling in Deep
Learning: a Survey . . . . . . . . . . . 119:1--119:??
Yannis Poulakis and
Christos Doulkeridis and
Dimosthenis Kyriazis A Survey on AutoML Methods and Systems
for Clustering . . . . . . . . . . . . . 120:1--120:??
Ansel Y. Rodríguez-González and
Ramón Aranda and
Miguel Á. Álvarez-Carmona and
Angel Díaz-Pacheco and
Rosa María Valdovinos Rosas X-FSPMiner: a Novel Algorithm for
Frequent Similar Pattern Mining . . . . 121:1--121:??
Tianxiang Luan and
Shilin Gu and
Xijia Tang and
Wenzhang Zhuge and
Chenping Hou Multi-Instance Learning with One Side
Label Noise . . . . . . . . . . . . . . 122:1--122:??
Wei Qin and
Xiaowei Wang and
Zhenzhen Hu and
Lei Wang and
Yunshi Lan and
Richang Hong Math Word Problem Generation via
Disentangled Memory Retrieval . . . . . 123:1--123:??
Haobo Wang and
Cheng Peng and
Hede Dong and
Lei Feng and
Weiwei Liu and
Tianlei Hu and
Ke Chen and
Gang Chen On the Value of Head Labels in
Multi-Label Text Classification . . . . 124:1--124:??
Wentao Hu and
Hui Fang Towards Differential Privacy in
Sequential Recommendation: a Noisy Graph
Neural Network Approach . . . . . . . . 125:1--125:??
Li Ni and
Rui Ye and
Wenjian Luo and
Yiwen Zhang Local Community Detection in Multiple
Private Networks . . . . . . . . . . . . 126:1--126:??
Yongduo Sui and
Wenyu Mao and
Shuyao Wang and
Xiang Wang and
Jiancan Wu and
Xiangnan He and
Tat-Seng Chua Enhancing Out-of-distribution
Generalization on Graphs via Causal
Attention Learning . . . . . . . . . . . 127:1--127:??
Kai Sun and
Huajie Jiang and
Yongli Hu and
Baocai Yin Incorporating Multi-Level Sampling with
Adaptive Aggregation for Inductive
Knowledge Graph Completion . . . . . . . 128:1--128:??
Rujing Yao and
Ou Wu A Taxonomy for Learning with
Perturbation and Algorithms . . . . . . 129:1--129:??
Yuehui Han Generation-based Multi-view Contrast for
Self-supervised Graph Representation
Learning . . . . . . . . . . . . . . . . 130:1--130:??
Kuldeep Singh and
Bhaskar Biswas Mining Top-$k$ High On-shelf Utility
Itemsets Using Novel Threshold Raising
Strategies . . . . . . . . . . . . . . . 131:1--131:??
Sharon Torao Pingi and
Richi Nayak and
Md Abul Bashar Conditional Generative Adversarial
Network for Early Classification of
Longitudinal Datasets Using an
Imputation Approach . . . . . . . . . . 132:1--132:??
Fadi Dornaika and
Zoulfikar Ibrahim and
Alirezah Bosaghzadeh Scalable and Inductive Semi-supervised
Classifier with Sample Weighting Based
on Graph Topology . . . . . . . . . . . 133:1--133:??
Yang Yang and
Feifei Wang and
Enqiang Zhu and
Fei Jiang and
Wen Yao Social Behavior Analysis in Exclusive
Enterprise Social Networks by FastHAND 134:1--134:??
Huiping Chen and
Alessio Conte and
Roberto Grossi and
Grigorios Loukides and
Solon P. Pissis and
Michelle Sweering On Breaking Truss-based and Core-based
Communities . . . . . . . . . . . . . . 135:1--135:??
Xuefei Li and
Huiwei Zhou and
Weihong Yao and
Wenchu Li and
Baojie Liu and
Yingyu Lin Intricate Spatiotemporal Dependency
Learning for Temporal Knowledge Graph
Reasoning . . . . . . . . . . . . . . . 136:1--136:??
Yimei Zheng and
Caiyan Jia ProtoMGAE: Prototype-Aware Masked Graph
Auto-Encoder for Graph Representation
Learning . . . . . . . . . . . . . . . . 137:1--137:??
April Chen and
Ryan A. Rossi and
Namyong Park and
Puja Trivedi and
Yu Wang and
Tong Yu and
Sungchul Kim and
Franck Dernoncourt and
Nesreen K. Ahmed Fairness-Aware Graph Neural Networks: a
Survey . . . . . . . . . . . . . . . . . 138:1--138:??
Acong Zhang and
Jincheng Huang and
Ping Li and
Kai Zhang Building Shortcuts between Distant Nodes
with Biaffine Mapping for Graph
Convolutional Networks . . . . . . . . . 139:1--139:??
Zhe Chen and
Aixin Sun DP-GCN: Node Classification by
Connectivity and Local Topology
Structure on Real-World Network . . . . 140:1--140:??
Sarwan Ali and
Muhammad Ahmad and
Maham Anwer Beg and
Imdad Ullah Khan and
Safiullah Faizullah and
Muhammad Asad Khan SsAG: Summarization and Sparsification
of Attributed Graphs . . . . . . . . . . 141:1--141:??
Derun Song and
Enneng Yang and
Guibing Guo and
Li Shen and
Linying Jiang and
Xingwei Wang Multi-Scenario and Multi-Task Aware
Feature Interaction for Recommendation
System . . . . . . . . . . . . . . . . . 142:1--142:??
Richard Connor and
Lucia Vadicamo nSimplex Zen: a Novel Dimensionality
Reduction for Euclidean and Hilbert
Spaces . . . . . . . . . . . . . . . . . 143:1--143:??
Taoran Ji and
Nathan Self and
Kaiqun Fu and
Zhiqian Chen and
Naren Ramakrishnan and
Chang-Tien Lu Citation Forecasting with Multi-Context
Attention-Aided Dependency Modeling . . 144:1--144:??
Houquan Zhou and
Shenghua Liu and
Huawei Shen and
Xueqi Cheng Node Embedding Preserving Graph
Summarization . . . . . . . . . . . . . 145:1--145:??
Konstantinos Theocharidis and
Panagiotis Karras and
Manolis Terrovitis and
Spiros Skiadopoulos and
Hady W. Lauw Adaptive Content-Aware Influence
Maximization via Online Learning to Rank 146:1--146:??
George Paterakis and
Stefanos Fafalios and
Paulos Charonyktakis and
Vassilis Christophides and
Ioannis Tsamardinos Do We Really Need Imputation in AutoML
Predictive Modeling? . . . . . . . . . . 147:1--147:??
Chi Zhang and
Linhao Cai and
Meng Chen and
Xiucheng Li and
Gao Cong DeepMeshCity: a Deep Learning Model for
Urban Grid Prediction . . . . . . . . . 148:1--148:??
Hongwei Yang and
Hui He and
Weizhe Zhang and
Yan Wang and
Lin Jing Multi-Source and Multi-modal Deep
Network Embedding for Cross-Network Node
Classification . . . . . . . . . . . . . 149:1--149:??
Can Rong and
Zhicheng Liu and
Jingtao Ding and
Yong Li Learning to Generate Temporal
Origin-destination Flow Based-on Urban
Regional Features and Traffic
Information . . . . . . . . . . . . . . 150:1--150:??
Zhibin Gu and
Songhe Feng and
Zhendong Li and
Jiazheng Yuan and
Jun Liu NOODLE: Joint Cross-View Discrepancy
Discovery and High-Order Correlation
Detection for Multi-View Subspace
Clustering . . . . . . . . . . . . . . . 151:1--151:??
Yuhan Wang and
Qing Xie and
Mengzi Tang and
Lin Li and
Jingling Yuan and
Yongjian Liu A Dual Perspective Framework of
Knowledge-correlation for Cross-domain
Recommendation . . . . . . . . . . . . . 152:1--152:??
Chen Zhao and
Feng Mi and
Xintao Wu and
Kai Jiang and
Latifur Khan and
Feng Chen Dynamic Environment Responsive Online
Meta-Learning with Fairness Awareness 153:1--153:??
Hong Zhao and
Zhengyu Li and
Wenwei He and
Yan Zhao Hierarchical Convolutional Neural
Network with Knowledge Complementation
for Long-Tailed Classification . . . . . 154:1--154:??
Sherry Sahebi and
Mengfan Yao and
Siqian Zhao and
Reza Feyzi Behnagh MoMENt: Marked Point Processes with
Memory-Enhanced Neural Networks for User
Activity Modeling . . . . . . . . . . . 155:1--155:??
Minyoung Choe and
Jaemin Yoo and
Geon Lee and
Woonsung Baek and
U. Kang and
Kijung Shin Representative and Back-In-Time Sampling
from Real-world Hypergraphs . . . . . . 156:1--156:??
Guosheng Cui and
Ruxin Wang and
Dan Wu and
Ye Li Semi-supervised Multi-view Clustering
based on NMF with Fusion Regularization 157:1--157:??
Jiadi Han and
Yufei Tang and
Qian Tao and
Yuhan Xia and
Liming Zhang Dual Homogeneity Hypergraph Motifs with
Cross-view Contrastive Learning for
Multiple Social Recommendations . . . . 158:1--158:??
Wentai Zhang and
HaiHong E. and
Haoran Luo and
Mingzhi Sun FulBM: Fast Fully Batch Maintenance for
Landmark-based $3$-hop Cover Labeling 159:1--159:??
Jingfeng Yang and
Hongye Jin and
Ruixiang Tang and
Xiaotian Han and
Qizhang Feng and
Haoming Jiang and
Shaochen Zhong and
Bing Yin and
Xia Hu Harnessing the Power of LLMs in
Practice: a Survey on ChatGPT and Beyond 160:1--160:??
Jingyi Cui and
Guangquan Xu and
Jian Liu and
Shicheng Feng and
Jianli Wang and
Hao Peng and
Shihui Fu and
Zhaohua Zheng and
Xi Zheng and
Shaoying Liu ID-SR: Privacy-Preserving Social
Recommendation Based on Infinite
Divisibility for Trustworthy AI . . . . 161:1--161:??
Xihong Yang and
Yiqi Wang and
Yue Liu and
Yi Wen and
Lingyuan Meng and
Sihang Zhou and
Xinwang Liu and
En Zhu Mixed Graph Contrastive Network for
Semi-supervised Node Classification . . 162:1--162:??
Zhaolong Ling and
Enqi Xu and
Peng Zhou and
Liang Du and
Kui Yu and
Xindong Wu Fair Feature Selection: a Causal
Perspective . . . . . . . . . . . . . . 163:1--163:??
O. Deniz Kose and
Yanning Shen FairGAT: Fairness-Aware Graph Attention
Networks . . . . . . . . . . . . . . . . 164:1--164:??
Shenghao Liu and
Yu Zhang and
Lingzhi Yi and
Xianjun Deng and
Laurence T. Yang and
Bang Wang Dual-Side Adversarial Learning Based
Fair Recommendation for Sensitive
Attribute Filtering . . . . . . . . . . 165:1--165:??
Tiandi Ye and
Cen Chen and
Yinggui Wang and
Xiang Li and
Ming Gao BapFL: You can Backdoor Personalized
Federated Learning . . . . . . . . . . . 166:1--166:??
Feifei Li and
Yuanbin Wang and
Oya Beyan and
Mirjam Schöneck and
Liliana Lourenco Caldeira Voxel-Wise Medical Image Generalization
for Eliminating Distribution Shift . . . 167:1--167:??
Cheng Wen and
Yuandao Cai and
Bin Zhang and
Jie Su and
Zhiwu Xu and
Dugang Liu and
Shengchao Qin and
Zhong Ming and
Tian Cong Automatically Inspecting Thousands of
Static Bug Warnings with Large Language
Model: How Far Are We? . . . . . . . . . 168:1--168:??
Chenwang Wu and
Defu Lian and
Yong Ge and
Min Zhou and
Enhong Chen Attacking Social Media via Behavior
Poisoning . . . . . . . . . . . . . . . 169:1--169:??
Dariusz Brzezinski and
Julia Stachowiak and
Jerzy Stefanowski and
Izabela Szczech and
Robert Susmaga and
Sofya Aksenyuk and
Uladzimir Ivashka and
Oleksandr Yasinskyi Properties of Fairness Measures in the
Context of Varying Class Imbalance and
Protected Group Ratios . . . . . . . . . 170:1--170:??
Yunkai Chen and
Qimeng Wang and
Shiwei Wu and
Yan Gao and
Tong Xu and
Yao Hu TOMGPT: Reliable Text-Only Training
Approach for Cost-Effective Multi-modal
Large Language Model . . . . . . . . . . 171:1--171:??
Jiaxin Zhang and
Yiqi Wang and
Xihong Yang and
En Zhu A Fully Test-time Training Framework for
Semi-supervised Node Classification on
Out-of-Distribution Graphs . . . . . . . 172:1--172:??
Ronghang Zhu and
Dongliang Guo and
Daiqing Qi and
Zhixuan Chu and
Xiang Yu and
Sheng Li A Survey of Trustworthy Representation
Learning Across Domains . . . . . . . . 173:1--173:??
Mengyao Li and
Zhiyong Li and
Zhibang Yang and
Xu Zhou and
Yifan Li and
Ziyan Wu and
Lingzhao Kong and
Ke Nai SA2E-AD: a Stacked Attention Autoencoder
for Anomaly Detection in Multivariate
Time Series . . . . . . . . . . . . . . 174:1--174:??
Wen-Ming Zhuang and
Chih-Yao Chen and
Cheng-Te Li Towards Robust Rumor Detection with
Graph Contrastive and Curriculum
Learning . . . . . . . . . . . . . . . . 175:1--175:??
Lei Zhang and
Lele Fu and
Chen Liu and
Zhao Yang and
Jinghua Yang and
Zibin Zheng and
Chuan Chen Toward Few-Label Vertical Federated
Learning . . . . . . . . . . . . . . . . 176:1--176:??
Xinru Liu and
Yongjing Hao and
Lei Zhao and
Guanfeng Liu and
Victor S. Sheng and
Pengpeng Zhao LMACL: Improving Graph Collaborative
Filtering with Learnable Model
Augmentation Contrastive Learning . . . 177:1--177:??
Philipp Schlieper and
Hermann Luft and
Kai Klede and
Christoph Strohmeyer and
Bjoern Eskofier and
Dario Zanca Enhancing Unsupervised Outlier Model
Selection: a Study on IREOS Algorithms 178:1--178:??
Hongjie Sui and
Huan Yan and
Tianyi Zheng and
Wenzhen Huang and
Yunlin Zhuang and
Yong Li Congestion-aware Spatio-Temporal Graph
Convolutional Network-based $ A* $
Search Algorithm for Fastest Route
Search . . . . . . . . . . . . . . . . . 179:1--179:??
Manuele Bicego and
Ferdinando Cicalese Computing Random Forest-distances in the
presence of missing data . . . . . . . . 180:1--180:??
Jiayi Deng and
Danyang Huang and
Bo Zhang Distributed Pseudo-Likelihood Method for
Community Detection in Large-Scale
Networks . . . . . . . . . . . . . . . . 181:1--181:??
Bolun (Namir) Xia and
Vipula Rawte and
Aparna Gupta and
Mohammed Zaki FETILDA: Evaluation Framework for
Effective Representations of Long
Financial Documents . . . . . . . . . . 182:1--182:??
Penghang Yu and
Bing-Kun Bao and
Zhiyi Tan and
Guanming Lu Improving Graph Collaborative Filtering
with Directional Behavior Enhanced
Contrastive Learning . . . . . . . . . . 183:1--183:??
Fengcheng Lu and
Michael Kwok-Po Ng FastHGNN: a New Sampling Technique for
Learning with Hypergraph Neural Networks 184:1--184:??
Yinqiu Huang and
Min Gao and
Kai Shu and
Chenghua Lin and
Jia Wang and
Wei Zhou EML: Emotion-Aware Meta Learning for
Cross-Event False Information Detection 185:1--185:??
Yu-Yang Qian and
Zhen-Yu Zhang and
Peng Zhao and
Zhi-Hua Zhou Learning with Asynchronous Labels . . . 186:1--186:??
Yifan He and
Yatao Bian and
Xi Ding and
Bingzhe Wu and
Jihong Guan and
Ji Zhang and
Shuigeng Zhou Variate Associated Domain Adaptation for
Unsupervised Multivariate Time Series
Anomaly Detection . . . . . . . . . . . 187:1--187:??
Tianhai Liang and
Qiangqiang Shen and
Shuqin Wang and
Yongyong Chen and
Guokai Zhang and
Junxin Chen Data Completion-Guided Unified Graph
Learning for Incomplete Multi-View
Clustering . . . . . . . . . . . . . . . 188:1--188:??
Tong Li and
Shuodi Hui and
Shiyuan Zhang and
Huandong Wang and
Yuheng Zhang and
Pan Hui and
Depeng Jin and
Yong Li Mobile User Traffic Generation Via
Multi-Scale Hierarchical GAN . . . . . . 189:1--189:??
Victor Gomes De Oliveira Martins Nicola and
Karina Valdivia Delgado and
Marcelo de Souza Lauretto Imbalance-Robust Multi-Label
Self-Adjusting kNN . . . . . . . . . . . 190:1--190:??
Xiangyu Li and
Hua Wang On Mean-Optimal Robust Linear
Discriminant Analysis . . . . . . . . . 191:1--191:??
Ocheme Anthony Ekle and
William Eberle Anomaly Detection in Dynamic Graphs: a
Comprehensive Survey . . . . . . . . . . 192:1--192:??
Yunjia Xi and
Weiwen Liu and
Xinyi Dai and
Ruiming Tang and
Qing Liu and
Weinan Zhang and
Yong Yu Utility-Oriented Reranking with
Counterfactual Context . . . . . . . . . 193:1--193:??
Jiao Yin and
Wei Hong and
Hua Wang and
Jinli Cao and
Yuan Miao and
Yanchun Zhang A Compact Vulnerability Knowledge Graph
for Risk Assessment . . . . . . . . . . 194:1--194:??
Lingkai Yang and
Sally McClean and
Mark Donnelly and
Kashaf Khan and
Kevin Burke Detecting Process Duration Drift Using
Gamma Mixture Models in a Left-Truncated
and Right-Censored Environment . . . . . 195:1--195:??
Yang Zhang and
Ting Yu and
Shengqiang Chi and
Zhen Wang and
Yue Gao and
Ji Zhang and
Tianshu Zhou Attribute Diversity Aware Community
Detection on Attributed Graphs Using
Three-View Graph Attention Neural
Networks . . . . . . . . . . . . . . . . 196:1--196:??
Munan Li and
Kai Liu and
Hongbo Liu and
Zheng Zhao and
Tomas E. Ward and
Xindong Wu Heterogeneous Meta-Path Graph Learning
for Higher-Order Social Recommendation 197:1--197:??
Yuliang Liang and
Enneng Yang and
Guibing Guo and
Wei Cai and
Linying Jiang and
Xingwei Wang Deconfounding User Preference in
Recommendation Systems through Implicit
and Explicit Feedback . . . . . . . . . 198:1--198:??
Ziyu Zhao and
Yuqi Bai and
Ruoxuan Xiong and
Qingyu Cao and
Chao Ma and
Ning Jiang and
Fei Wu and
Kun Kuang Learning Individual Treatment Effects
under Heterogeneous Interference in
Networks . . . . . . . . . . . . . . . . 199:1--199:??
Fei Ma and
Ping Wang Structural Properties on Scale-Free Tree
Network with an Ultra-Large Diameter . . 200:1--200:??
Jiaye Li and
Jinjing Shi and
Jian Zhang and
Yuhu Lu and
Qin Li and
Chunlin Yu and
Shichao Zhang Quantum Nearest Neighbor Collaborative
Filtering Algorithm for Recommendation
System . . . . . . . . . . . . . . . . . 201:1--201:??
Shifei Ding and
Benyu Wu and
Ling Ding and
Xiao Xu and
Lili Guo and
Hongmei Liao and
Xindong Wu Towards Faster Deep Graph Clustering via
Efficient Graph Auto-Encoder . . . . . . 202:1--202:??
Mingchen Sun and
Yingji Li and
Ying Wang and
Xin Wang Towards Domain-Aware Stable Meta
Learning for Out-of-Distribution
Generalization . . . . . . . . . . . . . 203:1--203:??
Xiangyu Wei and
Wei Wang and
Chongsheng Zhang and
Weiping Ding and
Bin Wang and
Yaguan Qian and
Zhen Han and
Chunhua Su Neighbor-Enhanced Representation
Learning for Link Prediction in Dynamic
Heterogeneous Attributed Networks . . . 204:1--204:??
Hongyu Li and
Lefei Zhang and
Kehua Su and
Wei Yu MICCF: a Mutual Information Constrained
Clustering Framework for Learning
Clustering-Oriented Feature
Representations . . . . . . . . . . . . 205:1--205:??
Chengwu Liao and
Chao Chen and
Wanyi Zhang and
Suiming Guo and
Chao Liu AGENDA: Predicting Trip Purposes with A
New Graph Embedding Network and Active
Domain Adaptation . . . . . . . . . . . 206:1--206:??
Bo Peng and
Ziqi Chen and
Srinivasan Parthasarathy and
Xia Ning Modeling Sequences as Star Graphs to
Address Over-Smoothing in Self-Attentive
Sequential Recommendation . . . . . . . 207:1--207:??
Chunnan Wang and
Xiangyu Shi and
Hongzhi Wang Fair Federated Learning with
Multi-Objective Hyperparameter
Optimization . . . . . . . . . . . . . . 208:1--208:??
Peng Zhou and
Yufeng Guo and
Haoran Yu and
Yuanting Yan and
Yanping Zhang and
Xindong Wu Concept Evolution Detecting over Feature
Streams . . . . . . . . . . . . . . . . 209:1--209:??
Siyuan Meng and
Jie Zhou and
Xuxin Chen and
Yufei Liu and
Fengyuan Lu and
Xinli Huang Structure-Information-Based Reasoning
over the Knowledge Graph: a Survey of
Methods and Applications . . . . . . . . 210:1--210:??
Lele Fu and
Sheng Huang and
Lei Zhang and
Jinghua Yang and
Zibin Zheng and
Chuanfu Zhang and
Chuan Chen Subspace-Contrastive Multi-View
Clustering . . . . . . . . . . . . . . . 211:1--211:??
Yonghao Liu and
Mengyu Li and
Ximing Li and
Lan Huang and
Fausto Giunchiglia and
Yanchun Liang and
Xiaoyue Feng and
Renchu Guan Meta-GPS++: Enhancing Graph
Meta-Learning with Contrastive Learning
and Self-Training . . . . . . . . . . . 212:1--212:??
Rahul Kumar and
João Mendes-Moreira and
Joydeep Chandra Spatio-Temporal Parallel Transformer
Based Model for Traffic Prediction . . . 213:1--213:??
Konstantin Voevodski Large-Scale $K$-Clustering . . . . . . . 214:1--214:??
Qiaohong Yu and
Huandong Wang and
Yu Liu and
Depeng Jin and
Yong Li and
Lin Zhu and
Junlan Feng Mobility Prediction via Rule-enhanced
Knowledge Graph . . . . . . . . . . . . 215:1--215:??
Jiacheng Yang and
Miaoxin Chen and
Cao Liu and
Boqi Dai and
Hai-Tao Zheng and
Hui Wang and
Rui Xie and
Hong-Gee Kim A Segment Augmentation and Prediction
Consistency Framework for Multi-label
Unknown Intent Detection . . . . . . . . 216:1--216:??
Paul Burkhardt Triangle Centrality . . . . . . . . . . 217:1--217:??
Qianru Zhang and
Zheng Wang and
Cheng Long and
Siu-Ming Yiu Billiards Sports Analytics: Datasets and
Tasks . . . . . . . . . . . . . . . . . 218:1--218:??
Min-Jeong Kim and
Yeon-Chang Lee and
David Y. Kang and
Sang-Wook Kim Trustworthiness-Driven Graph
Convolutional Networks for Signed
Network Embedding . . . . . . . . . . . 219:1--219:??
Yan Gong and
Georgina Cosma and
Axel Finke VITR: Augmenting Vision Transformers
with Relation-Focused Learning for
Cross-modal Information Retrieval . . . 220:1--220:??
Wangyang Ying and
Dongjie Wang and
Haifeng Chen and
Yanjie Fu Feature Selection as Deep Sequential
Generative Learning . . . . . . . . . . 221:1--221:??
Wei Liu and
Leong Hou U. and
Shangsong Liang and
Huaijie Zhu and
Jianxing Yu and
Yubao Liu and
Jian Yin VAE*: a Novel Variational Autoencoder
via Revisiting Positive and Negative
Samples for Top-$N$ Recommendation . . . 222:1--222:??
Zhu Wang and
Fengxia Han and
Shengjie Zhao A Survey on Knowledge Graph Related
Research in Smart City Domain . . . . . 223:1--223:??
Hongjun Wang and
Yi Song and
Wei Chen and
Zhipeng Luo and
Chongshou Li and
Tianrui Li A Survey of Co-Clustering . . . . . . . 224:1--224:??
Kewei Cheng and
Nesreen K. Ahmed and
Ryan A. Rossi and
Theodore Willke and
Yizhou Sun Neural-Symbolic Methods for Knowledge
Graph Reasoning: a Survey . . . . . . . 225:1--225:??
Tao Tan and
Hong Xie and
Xiaoyu Shi and
Mingsheng Shang A Meta-Learning Approach to Mitigating
the Estimation Bias of $Q$-Learning . . 226:1--226:??
Jun Tan and
Zhifeng Qiu and
Ning Gui Graph Representation Learning Enhanced
Semi-Supervised Feature Selection . . . 227:1--227:??
Keyi Li and
Sen Yang and
Travis M. Sullivan and
Randall S. Burd and
Ivan Marsic ProcessGAN: Generating
Privacy-Preserving Time-Aware Process
Data with Conditional Generative
Adversarial Nets . . . . . . . . . . . . 228:1--228:??
Jiaqian Ren and
Hao Peng and
Lei Jiang and
Zhifeng Hao and
Jia Wu and
Shengxiang Gao and
Zhengtao Yu and
Qiang Yang Toward Cross-Lingual Social Event
Detection with Hybrid Knowledge
Distillation . . . . . . . . . . . . . . 229:1--229:??
Nan Yin and
Li Shen and
Chong Chen and
Xian-Sheng Hua and
Xiao Luo SPORT: a Subgraph Perspective on Graph
Classification with Label Noise . . . . 230:1--230:??
Shuo Yu and
Feng Xia and
Honglong Chen and
Ivan Lee and
Lianhua Chi and
Hanghang Tong Heterogeneous Network Motif Coding,
Counting, and Profiling . . . . . . . . 231:1--231:??
Jiahui Feng and
Hefu Liu and
Jingmei Zhou and
Yang Zhou A Spatial-Temporal Aggregated Graph
Neural Network for Docked Bike-sharing
Demand Forecasting . . . . . . . . . . . 232:1--232:??
Yidong Wang and
Meng Ding and
Jinhui Xu and
Di Wang Fair Single Index Model . . . . . . . . 233:1--233:??
Jose Cribeiro-Ramallo and
Vadim Arzamasov and
Klemens Böhm Efficient Generation of Hidden Outliers
for Improved Outlier Detection . . . . . 234:1--234:??
Longji Huang and
Jianbin Huang and
He Li and
Jiangtao Cui LSTGCN: Inductive Spatial Temporal
Imputation Using Long Short-Term
Dependencies . . . . . . . . . . . . . . 235:1--235:??
Shucheng Li and
Jingzhou Zhu and
Boyu Chang and
Hao Wu and
Fengyuan Xu and
Sheng Zhong Multi-Label and Evolvable Dataset
Preparation for Web-Based Object
Detection . . . . . . . . . . . . . . . 236:1--236:??
Sejoon Oh and
Berk Ustun and
Julian Mcauley and
Srijan Kumar FINEST: Stabilizing Recommendations by
Rank-Preserving Fine-Tuning . . . . . . 237:1--237:??
Yifan Li and
Shuhan Qi and
Xuan Wang and
Jiajia Zhang and
Lei Cui A Novel Tree-Based Method for
Interpretable Reinforcement Learning . . 238:1--238:??