Directional Message Passing for Molecular Graphs

Understand

Graph neural networks have recently achieved great successes in predicting quantum mechanical properties of molecules.

• These models represent a molecule as a graph using only the distance between atoms (nodes).
• They do not, however, consider the spatial direction from one atom to another, despite directional information playing a central role in empirical potentials for molecules, e.g.
• in angular potentials.