| 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 32 (1), 4-24, 2020 | 3910 | 2020 |
| Graph wavenet for deep spatial-temporal graph modeling Z Wu, S Pan, G Long, J Jiang, C Zhang Proceedings of the Twenty-Eighth International Joint Conference on …, 2019 | 527 | 2019 |
| Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks Z Wu, S Pan, G Long, J Jiang, X Chang, C Zhang Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 262 | 2020 |
| Collaborative filtering fusing label features based on SDAE H Huo, X Liu, D Zheng, Z Wu, S Yu, L Liu Industrial Conference on Data Mining, 223-236, 2017 | 6 | 2017 |
| Beyond low-pass filtering: Graph convolutional networks with automatic filtering Z Wu, S Pan, G Long, J Jiang, C Zhang IEEE Transactions on Knowledge and Data Engineering, 2022 | 4 | 2022 |
| Heterogeneous graph attention network for small and medium-sized enterprises bankruptcy prediction Y Zheng, V Lee, Z Wu, S Pan Pacific-Asia Conference on Knowledge Discovery and Data Mining, 140-151, 2021 | 4 | 2021 |
| Personalized federated learning with structure F Chen, G Longr, Z Wu, T Zhou, J Jiang arXiv preprint arXiv:2203.00829, 2022 | 3 | 2022 |
| Personalized federated learning with graph F Chen, G Long, Z Wu, T Zhou, J Jiang arXiv preprint arXiv:2203.00829, 2022 | 2 | 2022 |
| Spatio-Temporal Joint Graph Convolutional Networks for Traffic Forecasting C Zheng, X Fan, S Pan, Z Wu, C Wang, PS Yu arXiv preprint arXiv:2111.13684, 2021 | 2 | 2021 |
| TraverseNet: Unifying Space and Time in Message Passing Z Wu, D Zheng, S Pan, Q Gan, G Long, G Karypis arXiv preprint arXiv:2109.02474, 2021 | 1 | 2021 |
| TraverseNet: Unifying Space and Time in Message Passing for Traffic Forecasting Z Wu, D Zheng, S Pan, Q Gan, G Long, G Karypis IEEE Transactions on Neural Networks and Learning Systems, 2022 | | 2022 |
| Structured Federated Aggregation for Personalizing On-device Intelligence F Chen, G Long, T Zhou, Z Wu, J Jiang | | 2021 |
| ConTIG: Continuous Representation Learning on Temporal Interaction Graphs X Yan, X Fan, P Yang, Z Wu, S Pan, L Chen, Y Zang, C Wang arXiv preprint arXiv:2110.06088, 2021 | | 2021 |
| Personalized Federated Learning With Graph Download PDF F Chen, G Long, Z Wu, T Zhou, J Jiang | | |
Shirui PanProfessor and ARC Future Fellow, Griffith UniversityVerified email at griffith.edu.au
