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Shirui Pan
Shirui Pan
Full Professor, ARC Future Fellow, FQA, Director of TrustAGI Lab, 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
83612020
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, 2021
18732021
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
16402019
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
10272020
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
9072018
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
8322018
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
5022016
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
4432019
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
4212017
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
3852022
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
2942021
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
2862020
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
2702021
Iterative views agreement: 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
2572016
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning
Y Liu, Z Li, S Pan, C Gong, C Zhou, G Karypis
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
2022021
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
1992019
Supervised learning for suicidal ideation detection in online user content
S Ji, CP Yu, S Fung, S Pan, G Long
Complexity 2018, 2018
1902018
Unifying Large Language Models and Knowledge Graphs: A Roadmap
S Pan, L Luo, Y Wang, C Chen, J Wang, X Wu
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024
1832024
Hyperspectral Image Classification With Context-Aware Dynamic Graph Convolutional Network
S Wan, C Gong, P Zhong, S Pan, G Li, J Yang
IEEE Transactions on Geoscience and Remote Sensing, TGRS, 2020
1522020
Unsupervised Domain Adaptive Graph Convolutional Networks
M Wu, S Pan, C Zhou, X Chang, X Zhu
The Web Conference, WWW-20, 2020
1492020
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