Hanghang Tong

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Christos FaloutsosCMUVerified email at cs.cmu.edu
Jingrui HeUniversity of Illinois at Urbana-ChampaignVerified email at illinois.edu
Jiawei HanAbel Bliss Professor of Computer Science, University of IllinoisVerified email at cs.uiuc.edu
Yuan YaoAssociate Professor, Nanjing UniversityVerified email at nju.edu.cn
Leman AkogluAssociate Professor, Carnegie Mellon UniversityVerified email at andrew.cmu.edu
Si ZhangMeta Platforms Inc.Verified email at fb.com
Tina Eliassi-RadProfessor & The Inaugural Joseph E. Aoun Chair, Northeastern UniversityVerified email at eliassi.org
Ross MaciejewskiProfessor of Computer Science and Engineering, Arizona State UniversityVerified email at asu.edu
Jiejun XuSenior Scientist and Center Lead, HRL LaboratoriesVerified email at hrl.com
Jian KangUniversity of RochesterVerified email at cs.rochester.edu
Duen Horng ChauProfessor, Georgia Institute of TechnologyVerified email at gatech.edu
Liangyue LiAlibabaVerified email at amazon.com
Changshui ZhangDept. Automation, Tsinghua University, Beijing, ChinaVerified email at mail.tsinghua.edu.cn
Nan CaoProfessor, Intelligent Big Data Visualization Lab @ Tongji UniversityVerified email at tongji.edu.cn
Boxin DuUniversity of Illinois at Urbana-ChampaignVerified email at illinois.edu
Baoyu JingUniversity of Illinois at Urbana-ChampaignVerified email at illinois.edu
Yinglong XiaFacebookVerified email at ieee.org
HongJiang Zhang (张宏江）Sourcecode CapitalVerified email at sourcecodecap.com
B. Aditya PrakashAssociate Professor, Georgia Institute of TechnologyVerified email at cs.cmu.edu
Danai KoutraUniversity of Michigan, Ann ArborVerified email at umich.edu

Hanghang Tong

University of Illinois at Urbana-Champaign

Verified email at illinois.edu - Homepage

Large Scale Data Mining Graph Mining Social Networks Healthcare Multimedia


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Data mining: concepts and techniques J Han, J Pei, H Tong Morgan kaufmann, 2022	62182	2022
Graph based anomaly detection and description: a survey L Akoglu, H Tong, D Koutra Data mining and knowledge discovery 29, 626-688, 2015	1797	2015
Graph convolutional networks: a comprehensive review S Zhang, H Tong, J Xu, R Maciejewski Computational Social Networks 6 (1), 1-23, 2019	1491	2019
Fast random walk with restart and its applications H Tong, C Faloutsos, JY Pan IEEE ICDM, 2006	1461	2006
Activity recognition with smartphone sensors X Su, H Tong, P Ji Tsinghua science and technology 19 (3), 235-249, 2014	600	2014
Rolx: structural role extraction & mining in large graphs K Henderson, B Gallagher, T Eliassi-Rad, H Tong, S Basu, L Akoglu, ... Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012	574	2012
Manifold-ranking based image retrieval J He, M Li, HJ Zhang, H Tong, C Zhang Proceedings of the 12th annual ACM international conference on Multimedia, 9-16, 2004	566	2004
Blur detection for digital images using wavelet transform H Tong, M Li, H Zhang, C Zhang 2004 IEEE international conference on multimedia and expo (ICME)(IEEE Cat …, 2004	439	2004
Random walk with restart: fast solutions and applications H Tong, C Faloutsos, JY Pan Knowledge and Information Systems 14, 327-346, 2008	425	2008
Center-piece subgraphs: problem definition and fast solutions H Tong, C Faloutsos Proceedings of the 12th ACM SIGKDD international conference on Knowledge …, 2006	358	2006
Fast best-effort pattern matching in large attributed graphs H Tong, C Faloutsos, B Gallagher, T Eliassi-Rad Proceedings of the 13th ACM SIGKDD international conference on Knowledge …, 2007	346	2007
Gelling, and melting, large graphs by edge manipulation H Tong, BA Prakash, T Eliassi-Rad, M Faloutsos, C Faloutsos Proceedings of the 21st ACM international conference on Information and …, 2012	303	2012
Final: Fast attributed network alignment S Zhang, H Tong Proceedings of the 22nd ACM SIGKDD international conference on knowledge …, 2016	297	2016
It's who you know: graph mining using recursive structural features K Henderson, B Gallagher, L Li, L Akoglu, T Eliassi-Rad, H Tong, ... Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011	290	2011
Data augmentation for deep graph learning: A survey K Ding, Z Xu, H Tong, H Liu ACM SIGKDD Explorations Newsletter 24 (2), 61-77, 2022	247	2022
Using ghost edges for classification in sparsely labeled networks B Gallagher, H Tong, T Eliassi-Rad, C Faloutsos Proceedings of the 14th ACM SIGKDD international conference on Knowledge …, 2008	211	2008
Centralities in large networks: Algorithms and observations U Kang, S Papadimitriou, J Sun, H Tong Proceedings of the 2011 SIAM international conference on data mining, 119-130, 2011	202	2011
Virus propagation on time-varying networks: Theory and immunization algorithms BA Prakash, H Tong, N Valler, M Faloutsos, C Faloutsos Joint European conference on machine learning and knowledge discovery in …, 2010	200	2010
Big-align: Fast bipartite graph alignment D Koutra, H Tong, D Lubensky 2013 IEEE 13th international conference on data mining, 389-398, 2013	196	2013
On the vulnerability of large graphs H Tong, BA Prakash, C Tsourakakis, T Eliassi-Rad, C Faloutsos, ... 2010 IEEE international conference on data mining, 1091-1096, 2010	188	2010

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