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
Fei XiongBeijing Jiaotong UniversityVerified email at bjtu.edu.cn
Miao ZhangAssistant Professor, Aalborg UniversityVerified email at cs.aau.dk
Peng ZhangProfessor, Guangzhou UniversityVerified email at gzhu.edu.cn
Yixin LiuPh.D. Candidate, Monash UniversityVerified email at monash.edu
Xue LiProfessor, The University of QueenslandVerified email at itee.uq.edu.au
Ming JinPh.D. Candidate, Monash UniversityVerified email at monash.edu
Gholamreza (Reza) HaffariAssociate Professor, Faculty of Information Technology, Monash UniversityVerified email at monash.edu
Ivor W. Tsang, IEEE FellowInaugural A*STAR AI Fellow and Director, Centre for Frontier AI Research, A*STARVerified email at ihpc.a-star.edu.sg
Zheng YanUniversity of Technology SydneyVerified email at uts.edu.au
Xindong WuHefei University of TechnologyVerified email at hfut.edu.cn
bo duSchool of Computer Science, Wuhan UniversityVerified email at whu.edu.cn
George KarypisDistinguished McKnight University Professor, CS&E, University of MinnesotaVerified email at umn.edu
Lianhua ChiLecturer at La Trobe UniversityVerified email at latrobe.edu.au

Shirui Pan

Professor and ARC Future Fellow, Griffith University

Verified email at griffith.edu.au - Homepage

Data Mining Machine Learning Deep Learning Graph Neural Networks Trustworthy AI


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, PS Yu IEEE Transactions on Neural Networks and Learning Systems 32 (1), 4-24, 2020	3913	2020
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	638	2021
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	636	2018
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	527	2019
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	501	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	396	2016
Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks Z Wu, S Pan, G Long, J Jiang, X Chang, C Zhang ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD-20, 2020	262	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	214	2017
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	208*	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	173	2019
Learning graph embedding with adversarial training methods S Pan, R Hu, S Fung, G Long, J Jiang, C Zhang IEEE Transactions on Cybernetics (TCYB), 2020	152	2020
Boosting for multi-graph classification J Wu, S Pan, X Zhu, Z Cai IEEE Transactions on Cybernetics (TCYB) 45 (3), 416-429, 2014	112	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	99	2015
Supervised learning for suicidal ideation detection in online user content S Ji, CP Yu, S Fung, S Pan, G Long Complexity 2018, 2018	97	2018
Suicidal ideation detection: A review of machine learning methods and applications S Ji, S Pan, X Li, E Cambria, G Long, Z Huang IEEE Transactions on Computational Social Systems, 2019	80	2019
Time Series Feature Learning with Labeled and Unlabeled Data H Wang, Q Zhang, J Wu, S Pan, Y Chen Pattern Recognition 89, 55-66, 2019	77	2019
Graph self-supervised learning: A survey Y Liu, M Jin, S Pan, C Zhou, Y Zheng, F Xia, PS Yu IEEE Transactions on Knowledge and Data Engineering, 2022	75	2022
Graph ensemble boosting for imbalanced noisy graph stream classification S Pan, J Wu, X Zhu, C Zhang IEEE Transactions on Cybernetics (TCYB) 45 (5), 954-968, 2014	74	2014
Learning private neural language modeling with attentive aggregation S Ji, S Pan, G Long, X Li, J Jiang, Z Huang 2019 International joint conference on neural networks (IJCNN), 1-8, 2019	69	2019
Binarized Attributed Network Embedding H Yang, S Pan, P Zhang, L Chen, D Lian, C Zhang IEEE International Conference on Data Mining, ICDM, 2018	68	2018

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