| Can graph neural networks count substructures? Z Chen, L Chen, S Villar, J Bruna Advances in Neural Information Processing Systems (NeurIPS 2020), 2020 | 456 | 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 | 373 | 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 | 210 | 2019 |
| On Graph Neural Networks versus Graph-Augmented MLPs L Chen, Z Chen, J Bruna International Conference on Learning Representations (ICLR 2021), 2020 | 69 | 2020 |
| Beyond the edge of stability via two-step gradient updates L Chen, J Bruna International Conference on Machine Learning, 4330-4391, 2023 | 48* | 2023 |
| Attributed Random Walk as Matrix Factorization L Chen, S Gong, J Bruna, M Bronstein neural information processing systems, graph representation learning workshop, 2019 | 23 | 2019 |
| Distributional Associations vs In-Context Reasoning: A Study of Feed-forward and Attention Layers L Chen, J Bruna, A Bietti The Thirteenth International Conference on Learning Representations, 2025 | 11* | 2025 |
| 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 | 3 | 2021 |
Joan BrunaProfessor of Computer Science, Data Science & Mathematics (aff), Courant Institute and CDS, NYUVerified email at cims.nyu.edu
