| How powerful are spectral graph neural networks X Wang, M Zhang International conference on machine learning, 23341-23362, 2022 | 176 | 2022 |
| Neural common neighbor with completion for link prediction X Wang, H Yang, M Zhang arXiv preprint arXiv:2302.00890, 2023 | 31 | 2023 |
| GLASS: GNN with labeling tricks for subgraph representation learning X Wang, M Zhang International Conference on Learning Representations, 2021 | 27 | 2021 |
| Is distance matrix enough for geometric deep learning? Z Li, X Wang, Y Huang, M Zhang Advances in Neural Information Processing Systems 36, 2024 | 10 | 2024 |
| From relational pooling to subgraph gnns: A universal framework for more expressive graph neural networks C Zhou, X Wang, M Zhang International Conference on Machine Learning, 42742-42768, 2023 | 8 | 2023 |
| Facilitating graph neural networks with random walk on simplicial complexes C Zhou, X Wang, M Zhang Advances in Neural Information Processing Systems 36, 2024 | 7 | 2024 |
| Graph neural network with local frame for molecular potential energy surface X Wang, M Zhang Learning on Graphs Conference, 19: 1-19: 30, 2022 | 7 | 2022 |
| Two-dimensional Weisfeiler-Lehman graph neural networks for link prediction Y Hu, X Wang, Z Lin, P Li, M Zhang arXiv preprint arXiv:2206.09567, 2022 | 6 | 2022 |
| Distance-restricted folklore weisfeiler-leman GNNs with provable cycle counting power J Zhou, J Feng, X Wang, M Zhang Advances in Neural Information Processing Systems 36, 2024 | 3 | 2024 |
| Improving graph neural networks on multi-node tasks with labeling tricks X Wang, P Li, M Zhang arXiv preprint arXiv:2304.10074, 2023 | 3 | 2023 |
| On the Completeness of Invariant Geometric Deep Learning Models Z Li, X Wang, S Kang, M Zhang arXiv preprint arXiv:2402.04836, 2024 | 2 | 2024 |
| How Powerful are Spectral Graph Neural Networks.(5 2022) X Wang, M Zhang URL https://arxiv. org/abs/2205.11172, 2022 | 2 | 2022 |
| Graph as Point Set X Wang, P Li, M Zhang arXiv preprint arXiv:2405.02795, 2024 | | 2024 |
| Latent Graph Diffusion: A Unified Framework for Generation and Prediction on Graphs Z Cai, X Wang, M Zhang arXiv preprint arXiv:2402.02518, 2024 | | 2024 |
| PyTorch Geometric High Order: A Unified Library for High Order Graph Neural Network X Wang, M Zhang arXiv preprint arXiv:2311.16670, 2023 | | 2023 |
