Multigrid Training for Molecular Generation using Graph Neural Networks

Zixuan Ling, Paula Mercurio, Di Liu

Deep learning has demonstrated significant success for modeling biochemical molecular systems, where inputs are commonly represented as graphs or 3D grids. A major challenge is tha…