Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets
Dominique Beaini, Dominic Masters, Guillaume Rabusseau, Michał Koziarski(University of Toronto), Prudencio Tossou, Zhaocheng Zhu(Mila - Quebec Artificial Intelligence Institute), Mirco Ravanelli(Concordia University), Reihaneh Rabbany, Luis T. Díaz Müller, Ali Parviz, Maciej Sypetkowski, Błażej Banaszewski, Ioannis Koutis, Michael Craig(Trinity College Dublin), Kerstin Kläser, Frederik Wenkel(Mila - Quebec Artificial Intelligence Institute), Jama Hussein Mohamud, Jian Tang(China National Hybrid Rice R&D Central Hunan Hybrid Rice Reserch Center), Cristian Gabellini, Hadrien Mary, Josef Dean, Cas Wognum(Arrien Pharmaceuticals (United States)), Gabriela Moisescu-Pareja, Therence Bois, Jiarui Lu(Mila - Quebec Artificial Intelligence Institute), Joao Alex Cunha, Shenyang Huang(Fudan University), Callum McLean, Samuel Maddrell-Mander, Oleksandr Dymov, Chad Martin, Guy Wolf(Université de Montréal), Christopher G. Morris(University of Florida Health), Andrew Fitzgibbon(Graphcore (United Kingdom))
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