| Can graph neural networks count substructures? Z Chen, L Chen, S Villar, J Bruna Advances in Neural Information Processing Systems (NeurIPS 2020), 2020 | 297 | 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 | 274 | 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 | 143 | 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 |
Joan BrunaCourant Institute of Mathematical Sciences, New York UniversityVerified email at cims.nyu.edu
