Shirui Pan

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Chengqi ZhangProfessor of Information TechnologyVerified email at uts.edu.au
Guodong LongAssociate Professor, Faculty of Engineering and IT, University of Technology SydneyVerified email at uts.edu.au
Xingquan (Hill) ZhuIEEE Fellow, Dept. of Electrical Eng. and Comp. Science, Florida 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
Chuan ZhouAcademy of Mathematics and Systems Science, Chinese Academy of SciencesVerified email at amss.ac.cn
Shaoxiong JiUniversity of HelsinkiVerified email at helsinki.fi
Miao ZhangAalborg University, Harbin Institute of Technology (Shenzhen)Verified email at cs.aau.dk
Fei XiongBeijing Jiaotong UniversityVerified email at bjtu.edu.cn
Yixin LiuPh.D. Candidate, Monash UniversityVerified email at monash.edu
Peng ZhangProfessor, Guangzhou UniversityVerified email at gzhu.edu.cn
Ming JinPh.D. Candidate, Monash UniversityVerified email at monash.edu
Gholamreza (Reza) HaffariProfessor, DSAI Dept, Monash UniversityVerified email at monash.edu
Xue LiProfessor, The University of QueenslandVerified email at itee.uq.edu.au
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
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
Xindong WuHefei University of TechnologyVerified email at hfut.edu.cn
Zheng YanUniversity of Technology SydneyVerified email at uts.edu.au

Shirui Pan

Full Professor, ARC Future Fellow, FQA, Griffith University

Verified email at griffith.edu.au - Homepage

Data Mining Machine Learning Deep Learning Graph Neural Networks Trustworthy AI


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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	5081	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	938	2021
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	810	2019
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	705	2018
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	618	2018
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	444	2020
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	418	2016
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	277	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	248	2019
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	226*	2016
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	196	2020
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 (TKDE), 2022	136	2022
Supervised learning for suicidal ideation detection in online user content S Ji, CP Yu, S Fung, S Pan, G Long Complexity 2018, 2018	125	2018
Boosting for multi-graph classification J Wu, S Pan, X Zhu, Z Cai IEEE Transactions on Cybernetics (TCYB) 45 (3), 416-429, 2014	115	2014
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	110	2019
Graph Learning: A Survey F Xia, K Sun, S Yu, A Aziz, L Wan, S Pan, H Liu IEEE Transactions on Artificial Intelligence (TAI), 2021	108	2021
A survey of community detection approaches: From statistical modeling to deep learning D Jin, Z Yu, P Jiao, S Pan, PS Yu, W Zhang IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021	106	2021
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	104	2015
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	92	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	90	2019

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