Predicting Molecular Conformation via Dynamic Graph Score Matching Shitong Luo

Predicting stable 3D conformations from 2D molecular graphs has been a longstanding challenge in computational chemistry. Recently, machine learning approaches have demonstrated very promising results compared to traditional experimental and physics-based simulation methods.