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Shirui Pan
Shirui Pan
Professor and ARC Future Fellow, Griffith University
Verified email at griffith.edu.au - Homepage
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
39132020
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
6382021
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
6362018
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
5272019
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
5012018
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
3962016
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
2622020
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
2142017
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
1732019
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
1522020
Boosting for multi-graph classification
J Wu, S Pan, X Zhu, Z Cai
IEEE Transactions on Cybernetics (TCYB) 45 (3), 416-429, 2014
1122014
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
992015
Supervised learning for suicidal ideation detection in online user content
S Ji, CP Yu, S Fung, S Pan, G Long
Complexity 2018, 2018
972018
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
802019
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
772019
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
752022
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
742014
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
692019
Binarized Attributed Network Embedding
H Yang, S Pan, P Zhang, L Chen, D Lian, C Zhang
IEEE International Conference on Data Mining, ICDM, 2018
682018
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