Vincent Mallet

According to our database, Vincent Mallet authored at least 11 papers between 2019 and 2024.

Collaborative distances:

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

2024

3D-based RNA function prediction tools in rnaglib.

Carlos G. Oliver, Vincent Mallet, Jérôme Waldispühl

CoRR, 2024

2023

AtomSurf : Surface Representation for Learning on Protein Structures.

Vincent Mallet, Souhaib Attaiki, Maks Ovsjanikov

CoRR, 2023

2022

Geometric deep learning for structural bioinformatics. (Apprentissage profond géométrique pour la bioinformatique structurale).

Vincent Mallet

PhD thesis, 2022

Approximate Network Motif Mining Via Graph Learning.

Carlos G. Oliver, Dexiong Chen, Vincent Mallet, Pericles Philippopoulos, Karsten M. Borgwardt

CoRR, 2022

Vernal: a tool for mining fuzzy network motifs in RNA.

Carlos G. Oliver, Vincent Mallet, Pericles Philippopoulos, William L. Hamilton, Jérôme Waldispühl

Bioinform., 2022

InDeep: 3D fully convolutional neural networks to assist in silico drug design on protein-protein interactions.

Vincent Mallet, Luis Checa Ruano, Alexandra Moine-Franel, Michael Nilges, Karen Druart, Guillaume Bouvier, Olivier Sperandio

Bioinform., 2022

RNAglib: a python package for RNA 2.5 D graphs.

Vincent Mallet, Carlos G. Oliver, Jonathan Broadbent, William L. Hamilton, Jérôme Waldispühl

Bioinform., 2022

2021

Edge-similarity-aware Graph Neural Networks.

Vincent Mallet, Carlos G. Oliver, William L. Hamilton

CoRR, 2021

Reverse-Complement Equivariant Networks for DNA Sequences.

Vincent Mallet, Jean-Philippe Vert

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

OptiMol: Optimization of Binding Affinities in Chemical Space for Drug Discovery.

Jacques Boitreaud, Vincent Mallet, Carlos G. Oliver, Jérôme Waldispühl

J. Chem. Inf. Model., 2020

2019

Leveraging binding-site structure for drug discovery with point-cloud methods.

Vincent Mallet, Carlos G. Oliver, Nicolas Moitessier, Jérôme Waldispühl

CoRR, 2019