Scalable Geometric Deep Learning on Molecular Graphs

6 December 2021

Papers citing "Scalable Geometric Deep Learning on Molecular Graphs"

4 / 4 papers shown

Title
Reducing Down(stream)time: Pretraining Molecular GNNs using Heterogeneous AI Accelerators Jenna A. Bilbrey Kristina M Herman Henry W Sprueill Soritis S. Xantheas Payel Das Manuel Lopez Roldan Mike Kraus Hatem Helal Sutanay Choudhury AI4CE 15 4 0 08 Nov 2022
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges M. Bronstein Joan Bruna Taco S. Cohen Petar Velivcković GNN 172 1,103 0 27 Apr 2021
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 186 913 0 02 Mar 2020
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 236 3,234 0 24 Nov 2016