Clément Vignac

According to our database, Clément Vignac authored at least 12 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Equivariant 3D-conditional diffusion model for molecular linker design.

Ilia Igashov, Hannes Stärk, Clément Vignac, Arne Schneuing, Victor Garcia Satorras, Pascal Frossard, Max Welling, Michael M. Bronstein, Bruno E. Correia

Nat. Mac. Intell., 2024

Generative Modelling of Structurally Constrained Graphs.

Manuel Madeira, Clément Vignac, Dorina Thanou, Pascal Frossard

CoRR, 2024

2023

Sparse Training of Discrete Diffusion Models for Graph Generation.

Yiming Qin, Clément Vignac, Pascal Frossard

CoRR, 2023

MiDi: Mixed Graph and 3D Denoising Diffusion for Molecule Generation.

Clément Vignac, Nagham Osman, Laura Toni, Pascal Frossard

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

DiGress: Discrete Denoising diffusion for graph generation.

Clément Vignac, Igor Krawczuk, Antoine Siraudin, Bohan Wang, Volkan Cevher, Pascal Frossard

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Equivariant 3D-Conditional Diffusion Models for Molecular Linker Design.

Ilia Igashov, Hannes Stärk, Clément Vignac, Victor Garcia Satorras, Pascal Frossard, Max Welling, Michael M. Bronstein, Bruno E. Correia

CoRR, 2022

Equivariant Diffusion for Molecule Generation in 3D.

Emiel Hoogeboom, Victor Garcia Satorras, Clément Vignac, Max Welling

Proceedings of the International Conference on Machine Learning, 2022

Top-N: Equivariant Set and Graph Generation without Exchangeability.

Clément Vignac, Pascal Frossard

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Modurec: Recommender Systems with Feature and Time Modulation.

Javier Maroto, Clément Vignac, Pascal Frossard

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Building powerful and equivariant graph neural networks with message-passing.

Clément Vignac, Andreas Loukas, Pascal Frossard

CoRR, 2020

Building powerful and equivariant graph neural networks with structural message-passing.

Clément Vignac, Andreas Loukas, Pascal Frossard

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

On The Choice of Graph Neural Network Architectures.

Clément Vignac, Guillermo Ortiz-Jiménez, Pascal Frossard

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020