Yiping Ke

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

Ikuti

Yiping Ke

Nanyang Technological University

Email yang diverifikasi di ntu.edu.sg - Beranda

Graph Learning Graph Analytics Graph Mining


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
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	435	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	335	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	332	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	139	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	111	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
Maintaining frequent closed itemsets over a sliding window J Cheng, Y Ke, W Ng Journal of Intelligent Information Systems 31 (3), 191-215, 2008	61	2008

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