Shirui Pan - Google Scholar

Cited by

	All	Since 2015
Citations	2849	2804
h-index	26	24
i10-index	43	43

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201420152016201720182019202026 90 107 243 451 899 1000

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
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
Miao ZhangPhD, Beijing Institute of Technology, PhD candidate, University of Technology SydneyVerified email at student.uts.edu.au
Lianhua ChiLecturer at La Trobe UniversityVerified email at latrobe.edu.au
Bo DuSchool of Computer, Wuhan University, Centre for Quantum Computation and Intelligent SystemsVerified email at whu.edu.cn
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

Shirui Pan

Monash University

Verified email at monash.edu - Homepage

Data Mining Machine Learning Deep Learning Graph Analytics 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	646*	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	310	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	249	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	142	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	138*	2016
Boosting for multi-graph classification J Wu, S Pan, X Zhu, Z Cai IEEE transactions on cybernetics 45 (3), 416-429, 2014	78	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	69	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
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	41	2019
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	40	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
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
Exploiting Attribute Correlations: A Novel Trace Lasso based Weakly Supervised Dictionary Learning Method L Wu, Y Wang, S Pan IEEE Transactions on Cybernetics, 2016	34	2016

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