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Shirui Pan
Shirui Pan
Full Professor, ARC Future Fellow, FQA, Director of TrustAGI Lab, Griffith University
Geverifieerd e-mailadres voor griffith.edu.au - Homepage
Titel
Geciteerd door
Geciteerd door
Jaar
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
99122020
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
23002021
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
20832019
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
13662020
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
10232018
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
8792018
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
5312022
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
5312019
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
5272016
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
4882024
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
4872017
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
3972021
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
3352021
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
3272020
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
2772021
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
2652016
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
2322019
Supervised learning for suicidal ideation detection in online user content
S Ji, CP Yu, S Fung, S Pan, G Long
Complexity 2018 (1), 6157249, 2018
2192018
Graph neural networks for graphs with heterophily: A survey
X Zheng, Y Wang, Y Liu, M Li, M Zhang, D Jin, PS Yu, S Pan
arXiv preprint arXiv:2202.07082, 2022
2022022
TIME-LLM: TIME SERIES FORECASTING BY REPRO-GRAMMING LARGE LANGUAGE MODELS
M Jin, S Wang, L Ma, Z Chu, JY Zhang, X Shi, PY Chen, Y Liang, YF Li, ...
International Conference on Learning Representations (ICLR), 2024
1942024
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Artikelen 1–20