Yizhou Sun

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Jiawei HanAbel Bliss Professor of Computer Science, University of IllinoisVerified email at cs.uiuc.edu
Wei WangLeonard Kleinrock Professor in Computer Science, UCLAVerified email at cs.ucla.edu
Ziniu HuPostdoc at California Institute of Technology & Researcher at GoogleVerified email at caltech.edu
Ting ChenGoogle BrainVerified email at google.com
Philip S. YuProfessor of Computer Science, University of Illinons at ChicagoVerified email at cs.uic.edu
Yunsheng BaiUniversity of California, Los AngelesVerified email at g.ucla.edu
Xiao YuRoblox, Ex-GooglerVerified email at roblox.com
Kai-Wei ChangAssociate Professor, UCLAVerified email at kwchang.net
Xifeng YanProfessor, Computer Science, Univ. of California at Santa BarbaraVerified email at cs.ucsb.edu
Manish GuptaBing, MicrosoftVerified email at microsoft.com
Jing GaoAssociate Professor, Elmore Family School of Electrical and Computer Engineering, Purdue UniversityVerified email at purdue.edu
Xiang RenViterbi Early Career Chair & Associate Professor, University of Southern CaliforniaVerified email at usc.edu
Charu AggarwalDistinguished Research Staff Member, IBM T. J. Watson Research CenterVerified email at us.ibm.com
Quanquan GuAssociate Professor of Computer Science, UCLAVerified email at cs.ucla.edu
Hongzhi YinARC Future Fellow and Professor, University of QueenslandVerified email at uq.edu.au
Yuxiao DongCS, Tsinghua UniversityVerified email at tsinghua.edu.cn
Yintao YuUniversity of Illinois at Urbana-ChampaignVerified email at illinois.edu
Nitesh V Chawla, Fellow ACM, IEEEFrank Freimann Professor of CSE.,Director, Lucy Family Institute for Data & Soc, Univ. of Notre DameVerified email at nd.edu
Peixiang ZhaoFlorida State UniversityVerified email at cs.fsu.edu
Hao DingSenior Applied Scientist, AWS AI LabsVerified email at amazon.com

Yizhou Sun

Associate Professor, Computer Science, UCLA

Verified email at cs.ucla.edu - Homepage

Information Networks Knowledge Graphs Graph Neural Networks Data Mining Machine Learning


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PathSim: Meta path-based top-k similarity search in heterogeneous information networks Y Sun, J Han, X Yan, PS Yu, T Wu Proceedings of the VLDB Endowment 4 (11), 992-1003, 2011	1988	2011
A survey of heterogeneous information network analysis C Shi, Y Li, J Zhang, Y Sun, SY Philip IEEE Transactions on Knowledge and Data Engineering 29 (1), 17-37, 2017	1052	2017
Heterogeneous Graph Transformer Z Hu, Y Dong, K Wang, Y Sun Proceedings of The Web Conference 2020, 2704-2710, 2020	849	2020
Personalized entity recommendation: a heterogeneous information network approach X Yu, X Ren, Y Sun, Q Gu, B Sturt, U Khandelwal, B Norick, J Han Proceedings of the 7th ACM international conference on Web search and data …, 2014	812	2014
Ranking-based clustering of heterogeneous information networks with star network schema Y Sun, Y Yu, J Han Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009	668	2009
Mining heterogeneous information networks: principles and methodologies Y Sun, J Han Synthesis Lectures on Data Mining and Knowledge Discovery 3 (2), 1-159, 2012	650	2012
Mining heterogeneous information networks: a structural analysis approach Y Sun, J Han ACM SIGKDD Explorations Newsletter 14 (2), 20-28, 2012	618	2012
Co-author relationship prediction in heterogeneous bibliographic networks Y Sun, R Barber, M Gupta, CC Aggarwal, J Han 2011 International Conference on Advances in Social Networks Analysis and …, 2011	561	2011
RankClus: integrating clustering with ranking for heterogeneous information network analysis Y Sun, J Han, P Zhao, Z Yin, H Cheng, T Wu Proceedings of the 12th International Conference on Extending Database …, 2009	529	2009
LCARS: a location-content-aware recommender system H Yin, Y Sun, B Cui, Z Hu, L Chen Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013	437	2013
Pathselclus: Integrating meta-path selection with user-guided object clustering in heterogeneous information networks Y Sun, B Norick, J Han, X Yan, PS Yu, X Yu ACM Transactions on Knowledge Discovery from Data (TKDD) 7 (3), 1-23, 2013	426	2013
Integrating Meta-Path Selection with User-Guided Object Clustering in Heterogeneous Information Networks Y Sun, B Norick, J Han, X Yan, PS Yu, X Yu Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012	426*	2012
GPT-GNN: Generative Pre-Training of Graph Neural Networks Z Hu, Y Dong, K Wang, KW Chang, Y Sun Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020	370	2020
On community outliers and their efficient detection in information networks J Gao, F Liang, W Fan, C Wang, Y Sun, J Han Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010	370	2010
Graph regularized transductive classification on heterogeneous information networks M Ji, Y Sun, M Danilevsky, J Han, J Gao Joint European Conference on Machine Learning and Knowledge Discovery in …, 2010	308	2010
When will it happen? -- relationship prediction in heterogeneous information networks Y Sun, J Han, CC Aggarwal, NV Chawla Proceedings of the fifth ACM international conference on Web search and data …, 2012	300	2012
SimGNN: A Neural Network Approach to Fast Graph Similarity Computation Y Bai, H Ding, S Bian, T Chen, Y Sun, W Wang Proceedings of the Twelfth ACM International Conference on Web Search and …, 2019	282	2019
P-Rank: a comprehensive structural similarity measure over information networks P Zhao, J Han, Y Sun Proceeding of the 18th ACM conference on Information and knowledge …, 2009	281	2009
Layer-dependent importance sampling for training deep and large graph convolutional networks D Zou, Z Hu, Y Wang, S Jiang, Y Sun, Q Gu Advances in Neural Information Processing Systems, 11247-11256, 2019	245	2019
Heterogeneous network representation learning: A unified framework with survey and benchmark C Yang, Y Xiao, Y Zhang, Y Sun, J Han IEEE Transactions on Knowledge and Data Engineering 34 (10), 4854-4873, 2020	241*	2020

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