Thomas Gaudelet

According to our database, Thomas Gaudelet authored at least 6 papers between 2018 and 2022.

Collaborative distances:

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

2022

PyRelationAL: A Library for Active Learning Research and Development.

Paul Scherer, Thomas Gaudelet, Alison Pouplin, Suraj M. S, Jyothish Soman, Lindsay Edwards, Jake P. Taylor-King

CoRR, 2022

RECOVER: sequential model optimization platform for combination drug repurposing identifies novel synergistic compounds in vitro.

Paul Bertin, Jarrid Rector-Brooks, Deepak Sharma, Thomas Gaudelet, Andrew Anighoro, Torsten Gross, Francisco Martinez-Pena, Eileen L. Tang, Suraj M. S, Cristian Regep, Jeremy B. R. Hayter, Maksym Korablyov, Nicholas Valiante, Almer van der Sloot, Mike Tyers, Charles Roberts, Michael M. Bronstein, Luke L. Lairson, Jake P. Taylor-King, Yoshua Bengio

CoRR, 2022

2021

Classification in biological networks with hypergraphlet kernels.

Jose Lugo-Martinez, Daniel Zeiberg, Thomas Gaudelet, Noël Malod-Dognin, Natasa Przulj, Predrag Radivojac

Bioinform., 2021

Utilizing graph machine learning within drug discovery and development.

Thomas Gaudelet, Ben Day, Arian R. Jamasb, Jyothish Soman, Cristian Regep, Gertrude Liu, Jeremy B. R. Hayter, Richard Vickers, Charles Roberts, Jian Tang, David Roblin, Tom L. Blundell, Michael M. Bronstein, Jake P. Taylor-King

Briefings Bioinform., 2021

2020

Utilising Graph Machine Learning within Drug Discovery and Development.

Thomas Gaudelet, Ben Day, Arian R. Jamasb, Jyothish Soman, Cristian Regep, Gertrude Liu, Jeremy B. R. Hayter, Richard Vickers, Charles Roberts, Jian Tang, David Roblin, Tom L. Blundell, Michael M. Bronstein, Jake P. Taylor-King

CoRR, 2020

2018

Higher-order molecular organization as a source of biological function.

Thomas Gaudelet, Noël Malod-Dognin, Natasa Przulj

Bioinform., 2018