Can graph neural networks count substructures? Z Chen, L Chen, S Villar, J Bruna Advances in Neural Information Processing Systems (NeurIPS 2020), 2020 | 301 | 2020 |
On the equivalence between graph isomorphism testing and function approximation with gnns Z Chen, S Villar, L Chen, J Bruna Advances in Neural Information Processing Systems, 15894-15902, 2019 | 276 | 2019 |
Spiralnet++: A fast and highly efficient mesh convolution operator S Gong, L Chen, M Bronstein, S Zafeiriou Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 145 | 2019 |
On Graph Neural Networks versus Graph-Augmented MLPs L Chen, Z Chen, J Bruna International Conference on Learning Representations (ICLR 2021), 2020 | 49 | 2020 |
On Gradient Descent Convergence beyond the Edge of Stability L Chen, J Bruna arXiv preprint arXiv:2206.04172, 2022 | 20 | 2022 |
Attributed Random Walk as Matrix Factorization L Chen, S Gong, J Bruna, M Bronstein neural information processing systems, graph representation learning workshop, 2019 | 17 | 2019 |
Beyond the edge of stability via two-step gradient updates L Chen, J Bruna International Conference on Machine Learning, 4330-4391, 2023 | 5 | 2023 |
Learning the Relevant Substructures for Tasks on Graph Data L Chen, Z Chen, J Bruna ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 1 | 2021 |