Yizhou Sun

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Jiawei HanAbel Bliss Professor of Computer Science, University of IllinoisDirección de correo verificada de cs.uiuc.edu
Wei WangLeonard Kleinrock Professor in Computer Science, UCLADirección de correo verificada de cs.ucla.edu
Ziniu HuxAIDirección de correo verificada de caltech.edu
Ting ChenxAIDirección de correo verificada de google.com
Yunsheng BaiUniversity of California, Los AngelesDirección de correo verificada de g.ucla.edu
Philip S. YuProfessor of Computer Science, University of Illinons at ChicagoDirección de correo verificada de cs.uic.edu
Kai-Wei ChangAssociate Professor, UCLADirección de correo verificada de kwchang.net
Xiao YuRoblox, Ex-GooglerDirección de correo verificada de roblox.com
Xifeng YanProfessor, Computer Science, Univ. of California at Santa BarbaraDirección de correo verificada de cs.ucsb.edu
Jing GaoAssociate Professor, Elmore Family School of Electrical and Computer Engineering, Purdue UniversityDirección de correo verificada de purdue.edu
Manish GuptaBing, MicrosoftDirección de correo verificada de microsoft.com
Sean (Xiang) RenViterbi Early Career Chair & Associate Professor, University of Southern CaliforniaDirección de correo verificada de usc.edu
Quanquan GuAssociate Professor of Computer Science, UCLADirección de correo verificada de cs.ucla.edu
Charu AggarwalDistinguished Research Staff Member, IBM T. J. Watson Research CenterDirección de correo verificada de us.ibm.com
Yuxiao DongCS, Tsinghua UniversityDirección de correo verificada de tsinghua.edu.cn
Hongzhi YinProfessor and ARC Future Fellow, University of QueenslandDirección de correo verificada de uq.edu.au
Yintao YuUniversity of Illinois at Urbana-ChampaignDirección de correo verificada de illinois.edu
Nitesh V Chawla, Fellow: ACM, IEEE,...Frank Freimann Professor of CSE.,Director, Lucy Family Institute for Data & Soc, Univ. of Notre DameDirección de correo verificada de nd.edu
Peixiang ZhaoFlorida State UniversityDirección de correo verificada de cs.fsu.edu
Hao DingSenior Applied Scientist and Manager, AWS AIDirección de correo verificada de amazon.com

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Yizhou Sun

Professor, Computer Science, UCLA

Dirección de correo verificada de cs.ucla.edu - Página principal

Information Networks Knowledge Graphs Graph Neural Networks Data Mining Machine Learning


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	2222	2011
Heterogeneous Graph Transformer Z Hu, Y Dong, K Wang, Y Sun Proceedings of The Web Conference 2020, 2704-2710, 2020	1335	2020
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	1208	2017
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	915	2014
Mining heterogeneous information networks: a structural analysis approach Y Sun, J Han ACM SIGKDD Explorations Newsletter 14 (2), 20-28, 2012	721	2012
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	702	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	700	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	596	2020
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	571	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	547	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	458	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	441	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	441*	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	396	2019
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	381	2010
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	346	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	330*	2020
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	324	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	301	2012
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	290	2009

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