| 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 | 14756 | 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 | 3504 | 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 | 2468 | 2020 |
| Personalized federated learning with graph F Chen, G Long, Z Wu, T Zhou, J Jiang (IJCAI) International Joint Conference on Artificial Intelligence 2022, 2575 …, 2022 | 124 | 2022 |
| Spatio-temporal joint graph convolutional networks for traffic forecasting C Zheng, X Fan, S Pan, H Jin, Z Peng, Z Wu, C Wang, PS Yu IEEE Transactions on Knowledge and Data Engineering 36 (1), 372-385, 2023 | 118 | 2023 |
| 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 35 (7), 6687-6697, 2022 | 54 | 2022 |
| 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 35 (2), 2003-2013, 2022 | 49 | 2022 |
| Heterogeneous graph attention network for small and medium-sized enterprises bankruptcy prediction Y Zheng, VCS Lee, Z Wu, S Pan Pacific-Asia Conference on Knowledge Discovery and Data Mining, 140-151, 2021 | 45 | 2021 |
| Contig: Continuous representation learning on temporal interaction graphs Z Wang, P Yang, X Fan, X Yan, Z Wu, S Pan, L Chen, Y Zang, C Wang, ... Neural Networks 172, 106151, 2024 | 9 | 2024 |
| 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 | 8 | 2017 |
| Towards competent AI for fundamental analysis in finance: a benchmark dataset and evaluation Z Wu, C Zou, J Wang, C Wang, H Yang, Y Shao arXiv preprint arXiv:2506.07315, 2025 | 3 | 2025 |
| A Comprehensive Survey of Knowledge-Based Vision Question Answering Systems: The Lifecycle of Knowledge in Visual Reasoning Task J Deng, Z Wu, H Huo, G Xu arXiv preprint arXiv:2504.17547, 2025 | 2 | 2025 |
| Self-generated Cross-Modal Prompt Tuning G Cao, Z Wu, H Huo, Y Ou, G Xu Joint European Conference on Machine Learning and Knowledge Discovery in …, 2025 | | 2025 |
| UniRVQA: A Unified Framework for Retrieval-Augmented Vision Question Answering via Self-Reflective Joint Training J Deng, K Shi, Z Wu, H Huo, D Wang, G Xu arXiv preprint arXiv:2504.04065, 2025 | | 2025 |
| FedFree: Breaking Knowledge-sharing Barriers through Layer-wise Alignment in Heterogeneous Federated Learning H Du, Y Xiang, Y Cai, X Liu, Z Wu, H Huo, G Long The Thirty-ninth Annual Conference on Neural Information Processing Systems, 2025 | | 2025 |
Shirui PanProfessor, ARC Future Fellow, FQA, Director of TrustAGI Lab, Griffith UniversityVerified email at griffith.edu.au
