Valence Labs; RWTH Aachen University; Mila - Québec AI Institute; Graphcore
Dominique Beaini, Shenyang(Andy) Huang, Joao Cunha, Zhiyi Li, Gabriela Moisescu-Pareja, Oleksandr Dymov, Samuel Maddrell-Mander, Callum McLean, Frederik Wenkel, Luis Müller, Jama Hussein Mohamud, Ali Parviz, Michael Craig, Michał Koziarski, Jiarui Lu, Zhaocheng Zhu, Cristian Gabellini, Kerstin Klaser, Josef Dean, Cas Wognum, Maciej Sypetkowski, Guillaume Rabusseau, Reihaneh Rabbany, Jian Tang, Christopher Morris, Mirco Ravanellu, Guy Wolf, Prudencio Tossou, Hadrien Mary, Therence Bois, Andrew Fitzgibbon, Blazej Banaszewski, Chad Martin, Dominic Masters
graph neural networks;Datasets;molecules;molecular graphs;Quantum;Multi-task;foundation model
Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets