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Clément Vignac
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Journal Articles
- 2024
- [j1]Ilia Igashov, Hannes Stärk, Clément Vignac, Arne Schneuing, Victor Garcia Satorras, Pascal Frossard, Max Welling, Michael M. Bronstein, Bruno E. Correia:
Equivariant 3D-conditional diffusion model for molecular linker design. Nat. Mac. Intell. 6(4): 417-427 (2024)
Conference and Workshop Papers
- 2023
- [c7]Clément Vignac, Igor Krawczuk, Antoine Siraudin, Bohan Wang, Volkan Cevher, Pascal Frossard:
DiGress: Discrete Denoising diffusion for graph generation. ICLR 2023 - [c6]Clément Vignac, Nagham Osman, Laura Toni, Pascal Frossard:
MiDi: Mixed Graph and 3D Denoising Diffusion for Molecule Generation. ECML/PKDD (2) 2023: 560-576 - 2022
- [c5]Clément Vignac, Pascal Frossard:
Top-N: Equivariant Set and Graph Generation without Exchangeability. ICLR 2022 - [c4]Emiel Hoogeboom, Victor Garcia Satorras, Clément Vignac, Max Welling:
Equivariant Diffusion for Molecule Generation in 3D. ICML 2022: 8867-8887 - 2021
- [c3]Javier Maroto, Clément Vignac, Pascal Frossard:
Modurec: Recommender Systems with Feature and Time Modulation. ICASSP 2021: 3615-3619 - 2020
- [c2]Clément Vignac, Guillermo Ortiz-Jiménez, Pascal Frossard:
On The Choice of Graph Neural Network Architectures. ICASSP 2020: 8489-8493 - [c1]Clément Vignac, Andreas Loukas, Pascal Frossard:
Building powerful and equivariant graph neural networks with structural message-passing. NeurIPS 2020
Informal and Other Publications
- 2024
- [i10]Manuel Madeira, Clément Vignac, Dorina Thanou, Pascal Frossard:
Generative Modelling of Structurally Constrained Graphs. CoRR abs/2406.17341 (2024) - 2023
- [i9]Clément Vignac, Nagham Osman, Laura Toni, Pascal Frossard:
MiDi: Mixed Graph and 3D Denoising Diffusion for Molecule Generation. CoRR abs/2302.09048 (2023) - [i8]Yiming Qin, Clément Vignac, Pascal Frossard:
Sparse Training of Discrete Diffusion Models for Graph Generation. CoRR abs/2311.02142 (2023) - 2022
- [i7]Emiel Hoogeboom, Victor Garcia Satorras, Clément Vignac, Max Welling:
Equivariant Diffusion for Molecule Generation in 3D. CoRR abs/2203.17003 (2022) - [i6]Clément Vignac, Igor Krawczuk, Antoine Siraudin, Bohan Wang, Volkan Cevher, Pascal Frossard:
DiGress: Discrete Denoising diffusion for graph generation. CoRR abs/2209.14734 (2022) - [i5]Ilia Igashov, Hannes Stärk, Clément Vignac, Victor Garcia Satorras, Pascal Frossard, Max Welling, Michael M. Bronstein, Bruno E. Correia:
Equivariant 3D-Conditional Diffusion Models for Molecular Linker Design. CoRR abs/2210.05274 (2022) - 2021
- [i4]Clément Vignac, Pascal Frossard:
Top-N: Equivariant set and graph generation without exchangeability. CoRR abs/2110.02096 (2021) - 2020
- [i3]Clément Vignac, Andreas Loukas, Pascal Frossard:
Building powerful and equivariant graph neural networks with message-passing. CoRR abs/2006.15107 (2020) - [i2]Javier Maroto, Clément Vignac, Pascal Frossard:
Modurec: Recommender Systems with Feature and Time Modulation. CoRR abs/2010.07050 (2020) - 2019
- [i1]Clément Vignac, Guillermo Ortiz-Jiménez, Pascal Frossard:
On the choice of graph neural network architectures. CoRR abs/1911.05384 (2019)
Coauthor Index
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