| 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 | 9073 | 2020 |
| 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 | 2071 | 2021 |
| 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 | 1812 | 2019 |
| 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 | 1171 | 2020 |
| 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 | 965 | 2018 |
| 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 | 853 | 2018 |
| 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 | 514 | 2016 |
| 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 | 484 | 2019 |
| 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 | 459 | 2017 |
| 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 | 448 | 2022 |
| 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 | 346 | 2021 |
| 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 | 318 | 2024 |
| 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 | 305 | 2020 |
| 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 | 299 | 2021 |
| 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 | 262 | 2016 |
| 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 | 240 | 2021 |
| 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 | 215 | 2019 |
| 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 | 201 | 2018 |
| 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 | 166 | 2022 |
| 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 | 165 | 2020 |
Chengqi ZhangProfessor of Information Technology在 uts.edu.au 的电子邮件经过验证
