Clément Vignac

According to our database1, Clément Vignac authored at least 10 papers between 2020 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2023
Sparse Training of Discrete Diffusion Models for Graph Generation.
CoRR, 2023

MiDi: Mixed Graph and 3D Denoising Diffusion for Molecule Generation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

DiGress: Discrete Denoising diffusion for graph generation.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Equivariant 3D-Conditional Diffusion Models for Molecular Linker Design.
CoRR, 2022

Equivariant Diffusion for Molecule Generation in 3D.
Proceedings of the International Conference on Machine Learning, 2022

Top-N: Equivariant Set and Graph Generation without Exchangeability.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Modurec: Recommender Systems with Feature and Time Modulation.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Building powerful and equivariant graph neural networks with message-passing.
CoRR, 2020

Building powerful and equivariant graph neural networks with structural message-passing.
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.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020


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