Geometric representations are becoming more important in molecular deep learning as the spatial structure of molecules contains important information about their properties. Kenneth Atz and colleagues review current progress and challenges in this emerging field of geometric deep learning.
- Kenneth Atz
- Francesca Grisoni
- Gisbert Schneider
