Yiping Ke

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Wilfred NgProfessor of Computer Science and Engineering, Hong Kong University of Science and TechnologyCorreu electrònic verificat a cse.ust.hk
Jeffrey Xu YuChinese University of Hong KongCorreu electrònic verificat a se.cuhk.edu.hk
WEI PENGFEINanyang Technological University, SingaporeCorreu electrònic verificat a nus.edu.sg
Ada Wai-Chee FuChinese University of Hong KongCorreu electrònic verificat a cse.cuhk.edu.hk
Yi WangNational Supercomputing Centre SingaporeCorreu electrònic verificat a nscc.sg
Yuzhen HuangMetaThe Chinese University of Hong KongCorreu electrònic verificat a cse.cuhk.edu.hk
Shumo ChuNEBRA LabsCorreu electrònic verificat a acm.org
Hong ChengProfessor, The Chinese University of Hong KongCorreu electrònic verificat a se.cuhk.edu.hk
Linhong ZhuFacebook;Information Sciences Institute;I^2R; Nanyang Technological UniversityCorreu electrònic verificat a isi.edu
An LuThe Hong Kong University of Science and TechnologyCorreu electrònic verificat a cse.ust.hk
Silu HuangMicrosoft Research, University of Illinois Urbana-ChampaignCorreu electrònic verificat a microsoft.com
Yew-Soon OngPresident Chair Professor of Computer Science, A*Star AI Chief Scientist, FIEEECorreu electrònic verificat a ntu.edu.sg
Professor Hejun WuSun Yat-sen UniversityCorreu electrònic verificat a mail.sysu.edu.cn
M. Tamer ÖzsuUniversity Professor, University of WaterlooCorreu electrònic verificat a uwaterloo.ca
Xuemin LinChair Professor at Shanghai Jiaotong UniversityCorreu electrònic verificat a cse.unsw.edu.au
Tianbo LiSEA AI LabCorreu electrònic verificat a sea.com
Lei ChenHong Kong University of Science and TechnologyCorreu electrònic verificat a cse.ust.hk
Philip S. YuProfessor of Computer Science, University of Illinons at ChicagoCorreu electrònic verificat a cs.uic.edu
Jinfeng LiThe Chinese University of Hong KongCorreu electrònic verificat a cse.cuhk.edu.hk
Tze-Yun LeongNational University of SingaporeCorreu electrònic verificat a comp.nus.edu.sg

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Yiping Ke

Nanyang Technological University

Correu electrònic verificat a ntu.edu.sg - Pàgina d'inici

Graph Learning Graph Analytics Graph Mining


Títol Ordena per cites Ordena per any Ordena per títol	Citada per Citada per	Any
A model-based approach to attributed graph clustering Z Xu, Y Ke, Y Wang, H Cheng, J Cheng Proceedings of the 2012 ACM SIGMOD international conference on management of …, 2012	434	2012
Path problems in temporal graphs H Wu, J Cheng, S Huang, Y Ke, Y Lu, Y Xu Proceedings of the VLDB Endowment 7 (9), 721-732, 2014	334	2014
Efficient core decomposition in massive networks J Cheng, Y Ke, S Chu, MT Özsu 2011 IEEE 27th International Conference on Data Engineering, 51-62, 2011	330	2011
Fg-index: towards verification-free query processing on graph databases J Cheng, Y Ke, W Ng, A Lu Proceedings of the 2007 ACM SIGMOD international conference on Management of …, 2007	315	2007
Fast algorithms for maximal clique enumeration with limited memory J Cheng, L Zhu, Y Ke, S Chu Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012	180	2012
Finding maximal cliques in massive networks J Cheng, Y Ke, AWC Fu, JX Yu, L Zhu ACM Transactions on Database Systems (TODS) 36 (4), 1-34, 2011	176	2011
A survey on algorithms for mining frequent itemsets over data streams J Cheng, Y Ke, W Ng Knowledge and Information Systems 16 (1), 1-27, 2008	172	2008
Efficient algorithms for temporal path computation H Wu, J Cheng, Y Ke, S Huang, Y Huang, H Wu IEEE Transactions on Knowledge and Data Engineering 28 (11), 2927-2942, 2016	138	2016
Reachability and time-based path queries in temporal graphs H Wu, Y Huang, J Cheng, J Li, Y Ke 2016 IEEE 32nd International Conference on Data Engineering (ICDE), 145-156, 2016	130	2016
Finding maximal cliques in massive networks by h*-graph J Cheng, Y Ke, AWC Fu, JX Yu, L Zhu Proceedings of the 2010 ACM SIGMOD International Conference on Management of …, 2010	129	2010
Core decomposition in large temporal graphs H Wu, J Cheng, Y Lu, Y Ke, Y Huang, D Yan, H Wu 2015 IEEE International Conference on Big Data (Big Data), 649-658, 2015	110	2015
Efficient query processing on graph databases J Cheng, Y Ke, W Ng ACM Transactions on Database Systems (TODS) 34 (1), 1-48, 2009	96	2009
GBAGC: A general bayesian framework for attributed graph clustering Z Xu, Y Ke, Y Wang, H Cheng, J Cheng ACM Transactions on Knowledge Discovery from Data (TKDD) 9 (1), 1-43, 2014	89	2014
Efficient processing of distance queries in large graphs: a vertex cover approach J Cheng, Y Ke, S Chu, C Cheng Proceedings of the 2012 ACM SIGMOD International Conference on Management of …, 2012	88	2012
Correlation search in graph databases Y Ke, J Cheng, W Ng Proceedings of the 13th ACM SIGKDD international conference on Knowledge …, 2007	74	2007
Fast graph query processing with a low-cost index J Cheng, Y Ke, AWC Fu, JX Yu The VLDB Journal 20 (4), 521-539, 2011	71	2011
Context-aware object connection discovery in large graphs J Cheng, Y Ke, W Ng, JX Yu 2009 IEEE 25th International Conference on Data Engineering, 856-867, 2009	67	2009
High efficiency and quality: large graphs matching Y Zhu, L Qin, JX Yu, Y Ke, X Lin In Proceedings of the 20th ACM Conference on Information and Knowledge …, 2011	66	2011
\delta-Tolerance Closed Frequent Itemsets J Cheng, Y Ke, W Ng Sixth International Conference on Data Mining (ICDM'06), 139-148, 2006	63	2006
An information-theoretic approach to quantitative association rule mining Y Ke, J Cheng, W Ng Knowledge and Information Systems 16 (2), 213-244, 2008	61	2008

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