Shirui Pan

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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 ZhangProfessor, Guangzhou UniversityVerified email at gzhu.edu.cn
Fei XiongBeijing Jiaotong UniversityVerified email at bjtu.edu.cn
Professor Xue LiThe University of QueenslandVerified email at itee.uq.edu.au
Miao ZhangResearch Fellow, Monash UniversityVerified 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, Australian AI Institute, University 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
Zheng YanUniversity of Technology SydneyVerified email at uts.edu.au
Yixin ChenProfessor, Computer Science Department, Washington UniversityVerified email at cse.wustl.edu
Gholamreza (Reza) HaffariAssociate Professor, Faculty of Information Technology, Monash UniversityVerified email at monash.edu
Lianhua ChiLecturer at La Trobe UniversityVerified email at latrobe.edu.au
Björn SchullerProfessor of AI, Imperial College London & University of Augsburg & CSO, audEERINGVerified email at imperial.ac.uk
George KarypisProfessor, Department of Computer Science & Engineering, University of MinnesotaVerified email at umn.edu

Shirui Pan

Monash University

Verified email at monash.edu - Homepage

Data Mining Machine Learning Deep Learning 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	1513	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	440	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	323	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	232	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	162*	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	128	2019
A survey on knowledge graphs: Representation, acquisition and applications S Ji, S Pan, E Cambria, P Marttinen, PS Yu IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021	122	2021
Boosting for multi-graph classification J Wu, S Pan, X Zhu, Z Cai IEEE Transactions on Cybernetics 45 (3), 416-429, 2014	99	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	97	2017
Learning graph embedding with adversarial training methods S Pan, R Hu, S Fung, G Long, J Jiang, C Zhang IEEE Transactions on Cybernetics, 2020	77	2020
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	75	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	68	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 (TNNLS) 29 (7 …, 2017	55	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	50	2013
Positive and Unlabeled Multi-Graph Learning J Wu, S Pan, X Zhu, C Zhang, X Wu IEEE Transactions on Cybernetics, 2017	49	2017
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	47	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	47	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	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
SODE: Self-adaptive one-dependence estimators for classification J Wu, S Pan, X Zhu, P Zhang, C Zhang Pattern Recognition 51, 358-377, 2016	42	2016

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