2023
Anisotropic Message Passing: Graph Neural Networks with Directional and Long-Range Interactions
ICLR 2023poster
Graph neural networks have shown great potential for the description of a variety of chemical systems. However, standard message passing does not explicitly account for long-range and directional interactions, for instance due to electrostatics. In this work, an anisotropic state based on Cartesian…