Shirui Pan
Shirui Pan
Senior Lecturer, Monash University
Verified email at monash.edu - Homepage
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 32 (1), 4-24, 2021
18672021
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
4792018
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
3342016
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
2742018
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
1882021
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
1742019
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
170*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
1162017
Boosting for multi-graph classification
J Wu, S Pan, X Zhu, Z Cai
IEEE Transactions on Cybernetics 45 (3), 416-429, 2014
1042014
Learning graph embedding with adversarial training methods
S Pan, R Hu, S Fung, G Long, J Jiang, C Zhang
IEEE Transactions on Cybernetics, 2020
872020
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
792015
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
692014
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
632019
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
582017
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
542013
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
502018
Positive and Unlabeled Multi-Graph Learning
J Wu, S Pan, X Zhu, C Zhang, X Wu
IEEE Transactions on Cybernetics, 2017
492017
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
472017
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
462015
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
452020
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Articles 1–20