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Shirui Pan
Shirui Pan
Full Professor, ARC Future Fellow, FQA, Griffith University
在 griffith.edu.au 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
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
50542020
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
9312021
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
8062019
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
7042018
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
6152018
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
4422020
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
4172016
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
2762017
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
2452019
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
1952020
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
1362022
Supervised learning for suicidal ideation detection in online user content
S Ji, CP Yu, S Fung, S Pan, G Long
Complexity 2018, 2018
1222018
Boosting for multi-graph classification
J Wu, S Pan, X Zhu, Z Cai
IEEE Transactions on Cybernetics (TCYB) 45 (3), 416-429, 2014
1152014
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
1082019
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
1062021
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
1052021
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
1042015
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
912019
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
882019
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