| Equivariant diffusion for molecule generation in 3d E Hoogeboom, VG Satorras, C Vignac, M Welling International Conference on Machine Learning, 8867-8887, 2022 | 400 | 2022 |
| DiGress: Discrete Denoising diffusion for graph generation C Vignac, I Krawczuk, A Siraudin, B Wang, V Cevher, P Frossard International Conference on Learning Representations (ICLR 2023), https …, 2023 | 184 | 2023 |
| Building powerful and equivariant graph neural networks with structural message-passing C Vignac, A Loukas, P Frossard Advances in Neural Information Processing Systems 33, 14143-14155, 2020 | 125 | 2020 |
| Equivariant 3D-conditional diffusion model for molecular linker design I Igashov, H Stärk, C Vignac, A Schneuing, VG Satorras, P Frossard, ... Nature Machine Intelligence, 1-11, 2024 | 77 | 2024 |
| Midi: Mixed graph and 3d denoising diffusion for molecule generation C Vignac, N Osman, L Toni, P Frossard Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023 | 27 | 2023 |
| Top-N: Equivariant set and graph generation without exchangeability C Vignac, P Frossard International Conference on Learning Representations (ICLR2022), 2022 | 25 | 2022 |
| On the choice of graph neural network architectures C Vignac, G Ortiz-Jiménez, P Frossard ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 11 | 2020 |
| Sparse Training of Discrete Diffusion Models for Graph Generation Y Qin, C Vignac, P Frossard arXiv preprint arXiv:2311.02142, 2023 | 2 | 2023 |
| Modurec: Recommender systems with feature and time modulation J Maroto, C Vignac, P Frossard ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 1 | 2021 |
| Learning anisotropic filters on product graphs CAY Vignac, P Frossard Proceedings of the ICLR Workshop on Representation Learning on Graphs and …, 2019 | 1 | 2019 |
| Equivariant Neural Architectures for Representing and Generating Graphs CAY Vignac EPFL, 2023 | | 2023 |
