| Walking with attention: Self-guided walking for heterogeneous graph embedding Y Hao, X Wang, X Wang, X Wang, C Chen, M Song IEEE Transactions on Knowledge and Data Engineering 34 (12), 6047-6060, 2021 | 7 | 2021 |
| Transition propagation graph neural networks for temporal networks T Zheng, Z Feng, T Zhang, Y Hao, M Song, X Wang, X Wang, J Zhao, ... IEEE Transactions on Neural Networks and Learning Systems, 2022 | 3 | 2022 |
| Temporal Aggregation and Propagation Graph Neural Networks for Dynamic Representation T Zheng, X Wang, Z Feng, J Song, Y Hao, M Song, X Wang, X Wang, ... IEEE Transactions on Knowledge and Data Engineering, 2023 | 2 | 2023 |
| Heterogeneous Graph Prototypical Networks for Few-Shot Node Classification Y Hao, M Wang, X Wang, T Zheng, X Wang, W Huang, C Chen International Conference on Neural Information Processing, 540-555, 2023 | 1 | 2023 |
| Attribution Guided Layerwise Knowledge Amalgamation from Graph Neural Networks Y Hao, Y Wang, S Liu, T Zheng, X Wang, X Wang, M Song, W Huang, ... International Conference on Neural Information Processing, 147-160, 2023 | | 2023 |
| Spatiotemporal-Augmented Graph Neural Networks for Human Mobility Simulation Y Wang, T Zheng, S Liu, K Chen, Z Feng, Y Hao, M Song arXiv preprint arXiv:2306.09381, 2023 | | 2023 |
