Shirui Pan - Google Scholar Citations

Cited by

	All	Since 2014
Citations	1508	1492
h-index	21	21
i10-index	30	30

580

290

145

435

201220132014201520162017201820196 6 26 94 105 242 447 570

Co-authors

Xingquan (Hill) ZhuFlorida Atlantic UniversityVerified email at fau.edu
Chengqi ZhangProfessor of Information TechnologyVerified email at uts.edu.au
JIA WUMacquarie UniversityVerified email at mq.edu.au
Guodong LongUTS: University of Technology SydneyVerified email at uts.edu.au
Philip S. YuProfessor of Computer Science, University of Illinons at ChicagoVerified email at cs.uic.edu
Yang Wang, 王杨Professor, Hefei University of Technology, ChinaVerified email at cse.unsw.edu.au
Zonghan WuUniversity of Technology SydneyVerified email at student.uts.edu.au
Tianyi ZhouUniversity of Washington, SeattleVerified email at washington.edu
Tao ShenPhD Candidate, University of Technology SydneyVerified email at student.uts.edu.au
Xindong WuMininglamp Academy of SciencesVerified email at mininglamp.com
Fei XiongBeijing Jiaotong UniversityVerified email at bjtu.edu.cn
Ivor W. TsangResearch Director & Professor of AI, Centre for AI, University of Technology SydneyVerified email at uts.edu.au
Chuan ZhouAcademy of Mathematics and Systems Science, Chinese Academy of SciencesVerified email at amss.ac.cn
Lianhua ChiLecturer at La Trobe UniversityVerified email at latrobe.edu.au
Bin LiFudan UniversityVerified email at fudan.edu.cn
Li GaoTencent Inc.Verified email at tencent.com
Ting GuoUniversity of Technology, SydneyVerified email at uts.edu.au
Yixin ChenProfessor, Computer Science Department, Washington UniversityVerified email at cse.wustl.edu
Bo DuSchool of Computer, Wuhan University, Centre for Quantum Computation and Intelligent SystemsVerified email at whu.edu.cn
Zheng YanUniversity of Technology SydneyVerified email at uts.edu.au

Shirui Pan

Monash University

Verified email at monash.edu - Homepage

Data Mining Machine Learning Deep Learning Graph Analytics Graph Neural Networks


Title	Cited by	Year
Tri-Party Deep Network Representation S Pan, J Wu, X Zhu, C Zhang, Y Wang IJCAI 16-The 25th International Joint Conference on Artificial Intelligence …, 2016	174	2016
DiSAN: Directional self-attention network for rnn/cnn-free language understanding T Shen, T Zhou, G Long, J Jiang, S Pan, C Zhang AAAI, 2018	156	2018
A comprehensive survey on graph neural networks Z Wu, S Pan, F Chen, G Long, C Zhang, PS Yu arXiv preprint arXiv:1901.00596, 2019	114	2019
An Iterative Low-Rank based Structured Optimization Method to Multi-View Spectral Clustering Y Wang, W Zhang, L Wu, X Lin, M Fang, S Pan IJCAI 16-The 25th International Joint Conference on Artificial Intelligence, 2016	109*	2016
Boosting for multi-graph classification J Wu, S Pan, X Zhu, Z Cai IEEE transactions on cybernetics 45 (3), 416-429, 2014	71	2014
Adversarially Regularized Graph Autoencoder for Graph Embedding. S Pan, R Hu, G Long, J Jiang, L Yao, C Zhang IJCAI, 2609-2615, 2018	61	2018
Graph ensemble boosting for imbalanced noisy graph stream classification S Pan, J Wu, X Zhu, C Zhang IEEE transactions on cybernetics 45 (5), 954-968, 2014	53	2014
Self-adaptive attribute weighting for Naive Bayes classification J Wu, S Pan, X Zhu, Z Cai, P Zhang, C Zhang Expert Systems with Applications 42 (3), 1487-1502, 2015	50	2015
Multiple structure-view learning for graph classification J Wu, S Pan, X Zhu, C Zhang, SY Philip IEEE transactions on neural networks and learning systems 29 (7), 3236-3251, 2017	45	2017
Positive and Unlabeled Multi-Graph Learning J Wu, S Pan, X Zhu, C Zhang, X Wu IEEE Transactions on Cybernetics, 2017	42	2017
CogBoost: Boosting for Fast Cost-sensitive Graph Classification S Pan, J Wu, X Zhu IEEE Transactions on Knowledge and Data Engineering 27 (11), 2933 - 2946, 2015	36	2015
MGAE: Marginalized graph autoencoder for graph clustering C Wang, S Pan, G Long, X Zhu, J Jiang CIKM 2017 - Proceedings of the 2017 ACM on Conference on Information and …, 2017	35	2017
SODE: Self-adaptive one-dependence estimators for classification J Wu, S Pan, X Zhu, P Zhang, C Zhang Pattern Recognition 51, 358-377, 2016	35	2016
Graph stream classification using labeled and unlabeled graphs S Pan, X Zhu, C Zhang, SY Philip 2013 IEEE 29th International Conference on Data Engineering (ICDE), 398-409, 2013	35	2013
Multi-graph-view learning for graph classification J Wu, Z Hong, S Pan, X Zhu, Z Cai, C Zhang ICDM'14-2014 IEEE International Conference on Data Mining, 590-599, 2014	33	2014
Finding the best not the most: regularized loss minimization subgraph selection for graph classification S Pan, J Wu, X Zhu, G Long, C Zhang Pattern Recognition 48 (11), 3783-3796, 2015	32	2015
Task Sensitive Feature Exploration and Learning for Multitask Graph Classification S Pan, J Wu, X Zhu, G Long, C Zhang IEEE Transactions on Cybernetics, 2017	26	2017
Joint Structure Feature Exploration and Regularization for Multi-Task Graph Classification S Pan, J Wu, X Zhu, C Zhang, P Yu IEEE Transactions on Knowledge and Data Engineering, 2016	26	2016
Graph classification with imbalanced class distributions and noise S Pan, X Zhu IJCAI'13-Proceedings of the Twenty-Third international joint conference on …, 2013	26	2013
Multi-graph learning with positive and unlabeled bags J Wu, Z Hong, S Pan, X Zhu, C Zhang, Z Cai Proceedings of the 2014 SIAM International Conference on Data Mining, 217-225, 2014	25	2014

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