Olfactory receptor ligand prediction via graph neural networks and representation learning - Université Côte d'Azur Access content directly
Conference Papers Year : 2021

Olfactory receptor ligand prediction via graph neural networks and representation learning

Matej Hladiš
  • Function : Author
Institut de Chimie de Nice
Sébastien Fiorucci
Institut de Chimie de Nice
CV
Jérôme Golebiowski
Daegu Gyeongbuk Institute of Science and Technology
Jérémie Topin
  • Function : Author
  • PersonId : 1081477
Institut de Chimie de Nice

Domains

Machine Learning [stat.ML] Cheminformatics Theoretical and/or physical chemistry Neurons and Cognition [q-bio.NC]

Sébastien FIORUCCI  : Connect in order to contact the contributor

https://hal.univ-cotedazur.fr/hal-03908198

Submitted on : Tuesday, December 20, 2022-2:39:24 PM

Last modification on : Monday, November 6, 2023-12:08:32 PM

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hal-03908198 , version 1 (20-12-2022)

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  • HAL Id : hal-03908198 , version 1

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Matej Hladiš, Sébastien Fiorucci, Jérôme Golebiowski, Jérémie Topin. Olfactory receptor ligand prediction via graph neural networks and representation learning. SophIA summit 2021, Nov 2021, Sophia Antipolis, France. ⟨hal-03908198⟩

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