Graph neural networks are a class of deep learning methods that can model physical systems, generate new molecules and identify drug candidates. This Primer introduces graph neural networks and explores how they are applied across the life and physical sciences.
- Gabriele Corso
- Hannes Stark
- Regina Barzilay