| Weisfeiler-lehman meets gromov-Wasserstein S Chen, S Lim, F Mémoli, Z Wan, Y Wang International Conference on Machine Learning, 3371-3416, 2022 | 13 | 2022 |
| Approximation algorithms for 1-Wasserstein distance between persistence diagrams S Chen, Y Wang arXiv preprint arXiv:2104.07710, 2021 | 9 | 2021 |
| The Weisfeiler-Lehman distance: Reinterpretation and connection with gnns S Chen, S Lim, F Mémoli, Z Wan, Y Wang Topological, Algebraic and Geometric Learning Workshops 2023, 404-425, 2023 | 5 | 2023 |
| Learning ultrametric trees for optimal transport regression S Chen, P Tabaghi, Y Wang Proceedings of the AAAI Conference on Artificial Intelligence 38 (18), 20657 …, 2024 | 1 | 2024 |
| Neural approximation of Wasserstein distance via a universal architecture for symmetric and factorwise group invariant functions S Chen, Y Wang Advances in Neural Information Processing Systems 36, 2024 | | 2024 |
