Shirui Pan

Cited by

	All	Since 2016
Citations	4232	4081
h-index	30	28
i10-index	52	51

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1575

2014201520162017201820192020202126 92 110 246 452 874 2003 378

Co-authors

Chengqi ZhangProfessor of Information TechnologyVerified email at uts.edu.au
Guodong LongAssociate Professor, Australian AI Institute, University of Technology SydneyVerified email at uts.edu.au
Xingquan (Hill) ZhuFlorida Atlantic UniversityVerified email at fau.edu
JIA WUMacquarie UniversityVerified email at mq.edu.au
Philip S. YuProfessor of Computer Science, University of Illinons at ChicagoVerified email at cs.uic.edu
Zonghan WuUniversity of Technology SydneyVerified email at student.uts.edu.au
Shaoxiong JiAalto UniversityVerified email at aalto.fi
Peng Zhang @ Alibaba.comAlibaba.comVerified email at alibaba-inc.com
Fei XiongBeijing Jiaotong UniversityVerified email at bjtu.edu.cn
Xindong WuMininglamp Academy of Sciences; Hefei University of TechnologyVerified email at hfut.edu.cn
Ivor W. TsangResearch Director & Professor, Australian AI Institute, University of Technology SydneyVerified email at uts.edu.au
Miao ZhangResearch Fellow, Monash UniversityVerified email at student.uts.edu.au
Zheng YanUniversity of Technology SydneyVerified email at uts.edu.au
Bo DuSchool of Computer, Wuhan University, Centre for Quantum Computation and Intelligent SystemsVerified email at whu.edu.cn
Yixin ChenProfessor, Computer Science Department, Washington UniversityVerified email at cse.wustl.edu
Lianhua ChiLecturer at La Trobe UniversityVerified email at latrobe.edu.au
Gholamreza (Reza) HaffariAssociate Professor, Faculty of Information Technology, Monash UniversityVerified email at monash.edu
Björn SchullerProfessor of AI, Imperial College London & University of Augsburg & CSO, audEERINGVerified email at imperial.ac.uk
Xue Li

Shirui Pan

Monash University

Verified email at monash.edu - Homepage

Data Mining Machine Learning Deep Learning Graph Neural Networks


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
A comprehensive survey on graph neural networks Z Wu, S Pan, F Chen, G Long, C Zhang, SY Philip IEEE Transactions on Neural Networks and Learning Systems, 2020	1246	2020
DiSAN: Directional self-attention network for rnn/cnn-free language understanding T Shen, T Zhou, G Long, J Jiang, S Pan, C Zhang AAAI Conference on Artificial Intelligence, AAAI-18, 2018	409	2018
Tri-Party Deep Network Representation S Pan, J Wu, X Zhu, C Zhang, Y Wang International Joint Conference on Artificial Intelligence, IJCAI-16, 1895-1901, 2016	304	2016
Adversarially Regularized Graph Autoencoder for Graph Embedding S Pan, R Hu, G Long, J Jiang, L Yao, C Zhang International Joint Conference on Artificial Intelligence, IJCAI-18, 2609-2615, 2018	204	2018
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 International Joint Conference on Artificial Intelligence, IJCAI-16, 2016	150*	2016
Graph WaveNet for Deep Spatial-Temporal Graph Modeling Z Wu, S Pan, G Long, J Jiang, C Zhang International Joint Conference on Artificial Intelligence, IJCAI-19, 2019	101	2019
Boosting for multi-graph classification J Wu, S Pan, X Zhu, Z Cai IEEE transactions on cybernetics 45 (3), 416-429, 2014	92	2014
A survey on knowledge graphs: Representation, acquisition and applications S Ji, S Pan, E Cambria, P Marttinen, PS Yu arXiv preprint arXiv:2002.00388, 2020	91	2020
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	87	2017
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	73	2015
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	66	2014
Learning graph embedding with adversarial training methods S Pan, R Hu, S Fung, G Long, J Jiang, C Zhang IEEE Transactions on Cybernetics, 2020	62	2020
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	52	2017
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	49	2013
Positive and Unlabeled Multi-Graph Learning J Wu, S Pan, X Zhu, C Zhang, X Wu IEEE Transactions on Cybernetics, 2017	46	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	46	2015
Multi-instance learning with discriminative bag mapping J Wu, S Pan, X Zhu, C Zhang, X Wu IEEE Transactions on Knowledge and Data Engineering 30 (6), 1065-1080, 2018	45	2018
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	45	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	41	2016
Attributed Graph Clustering: A Deep Attentional Embedding Approach C Wang, S Pan, R Hu, G Long, J Jiang, C Zhang International Joint Conference on Artificial Intelligence, IJCAI-19, 2019	39	2019

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