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Lei Chen
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Year
Can graph neural networks count substructures?
Z Chen, L Chen, S Villar, J Bruna
Advances in Neural Information Processing Systems (NeurIPS 2020), 2020
2972020
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
2722019
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
1432019
On Graph Neural Networks versus Graph-Augmented MLPs
L Chen, Z Chen, J Bruna
International Conference on Learning Representations (ICLR 2021), 2020
492020
On Gradient Descent Convergence beyond the Edge of Stability
L Chen, J Bruna
arXiv preprint arXiv:2206.04172, 2022
202022
Attributed Random Walk as Matrix Factorization
L Chen, S Gong, J Bruna, M Bronstein
neural information processing systems, graph representation learning workshop, 2019
172019
Beyond the edge of stability via two-step gradient updates
L Chen, J Bruna
International Conference on Machine Learning, 4330-4391, 2023
52023
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
12021
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