Shirui Pan - Google Scholar

Cited by

	All	Since 2015
Citations	2699	2654
h-index	24	23
i10-index	43	43

920

460

230

690

201420152016201720182019202026 90 107 244 452 905 842

Co-authors

Chengqi ZhangProfessor of Information TechnologyVerified email at uts.edu.au
Xingquan (Hill) ZhuFlorida Atlantic UniversityVerified email at fau.edu
Guodong LongUTS: University of Technology SydneyVerified email at uts.edu.au
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
Peng Zhang @ Ant FinancialAnt FinancialVerified email at alibaba-inc.com
Shaoxiong JiAalto UniversityVerified email at aalto.fi
Fei XiongBeijing Jiaotong UniversityVerified email at bjtu.edu.cn
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 Sciences; Hefei University of TechnologyVerified email at hfut.edu.cn
Ivor W. TsangResearch Director & Professor of AI, Centre for AI, University of Technology SydneyVerified email at uts.edu.au
Ting GuoUniversity of Technology, SydneyVerified email at uts.edu.au
Zheng YanUniversity of Technology SydneyVerified email at uts.edu.au
Yixin ChenProfessor, Computer Science Department, Washington UniversityVerified email at cse.wustl.edu
Lianhua ChiLecturer at La Trobe UniversityVerified email at latrobe.edu.au
Li GaoBaidu Inc.Verified email at baidu.com
Bo DuSchool of Computer, Wuhan University, Centre for Quantum Computation and Intelligent SystemsVerified email at whu.edu.cn
Miao ZhangPhD candidate, Beijing Institute of Technology, University of Technology SydneyVerified email at student.uts.edu.au

Shirui Pan

Monash University

Verified email at monash.edu - Homepage

Data Mining Machine Learning Deep Learning Graph Analytics Graph Neural Networks


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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	572*	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	300	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	246	2016
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	134*	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	133	2018
Boosting for multi-graph classification J Wu, S Pan, X Zhu, Z Cai IEEE transactions on cybernetics 45 (3), 416-429, 2014	77	2014
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	67	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	66	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	62	2014
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
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	45	2015
Positive and Unlabeled Multi-Graph Learning J Wu, S Pan, X Zhu, C Zhang, X Wu IEEE Transactions on Cybernetics, 2017	44	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	44	2013
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	40	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	38	2017
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	37	2015
SODE: Self-adaptive one-dependence estimators for classification J Wu, S Pan, X Zhu, P Zhang, C Zhang Pattern Recognition 51, 358-377, 2016	36	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	35	2019
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	35	2016
Multi-graph-view learning for graph classification J Wu, Z Hong, S Pan, X Zhu, Z Cai, C Zhang IEEE International Conference on Data Mining, ICDM-14, 590-599, 2014	34	2014

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