Olfactory receptor ligand prediction via graph neural networks and representation learning

Matej Hladiš; Sébastien Fiorucci; Jérôme Golebiowski; Jérémie Topin

Conference Papers Year : 2021

Olfactory receptor ligand prediction via graph neural networks and representation learning

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Matej Hladiš

Function : Author

Institut de Chimie de Nice

Sébastien Fiorucci

Function : Author
PersonId : 184057
IdHAL : sebastien-fiorucci
ORCID : 0000-0003-2245-0478
IdRef : 110498488

Institut de Chimie de Nice

CV

Jérôme Golebiowski

Function : Author
PersonId : 767896
ORCID : 0000-0002-3675-1952

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 : Thursday, April 11, 2024-1:08:14 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⟩

Olfactory receptor ligand prediction via graph neural networks and representation learning

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