Shirui Pan
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, 2020
849*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
3522018
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
2732016
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
1652018
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
142*2016
Boosting for multi-graph classification
J Wu, S Pan, X Zhu, Z Cai
IEEE transactions on cybernetics 45 (3), 416-429, 2014
802014
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
752017
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
692015
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
632014
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
602019
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 29 (7), 3236-3251, 2017
522017
Learning graph embedding with adversarial training methods
S Pan, R Hu, S Fung, G Long, J Jiang, C Zhang
IEEE Transactions on Cybernetics, 2020
492020
Positive and Unlabeled Multi-Graph Learning
J Wu, S Pan, X Zhu, C Zhang, X Wu
IEEE Transactions on Cybernetics, 2017
452017
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
452015
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
452013
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
442018
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
432017
SODE: Self-adaptive one-dependence estimators for classification
J Wu, S Pan, X Zhu, P Zhang, C Zhang
Pattern Recognition 51, 358-377, 2016
372016
Finding the best not the most: regularized loss minimization subgraph selection for graph classification
S Pan, J Wu, X Zhu, G Long, C Zhang
Pattern Recognition 48 (11), 3783-3796, 2015
372015
Joint Structure Feature Exploration and Regularization for Multi-Task Graph Classification
S Pan, J Wu, X Zhu, C Zhang, P Yu
IEEE Transactions on Knowledge and Data Engineering, 2016
352016
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