Vincent Mallet

Orcid: 0000-0003-4664-754X

According to our database1, Vincent Mallet authored at least 12 papers between 2019 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
AlignScape, displaying sequence similarity using self-organizing maps.
Frontiers Bioinform., 2024

3D-based RNA function prediction tools in rnaglib.
CoRR, 2024

2023
AtomSurf : Surface Representation for Learning on Protein Structures.
CoRR, 2023

2022
Geometric deep learning for structural bioinformatics. (Apprentissage profond géométrique pour la bioinformatique structurale).
PhD thesis, 2022

Approximate Network Motif Mining Via Graph Learning.
CoRR, 2022

Vernal: a tool for mining fuzzy network motifs in RNA.
Bioinform., 2022

InDeep: 3D fully convolutional neural networks to assist in silico drug design on protein-protein interactions.
Bioinform., 2022

RNAglib: a python package for RNA 2.5 D graphs.
Bioinform., 2022

2021
Edge-similarity-aware Graph Neural Networks.
CoRR, 2021

Reverse-Complement Equivariant Networks for DNA Sequences.
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.
J. Chem. Inf. Model., 2020

2019
Leveraging binding-site structure for drug discovery with point-cloud methods.
CoRR, 2019


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