Graph Isomorphism Neural Networks — Application By Example

This article explores the use of Graph Isomorphism Networks (GINs) for the regressive prediction of molecular properties. GINs are a class of deep learning frameworks with higher degrees of freedom than traditional neural networks. The article discusses the application of GINs to the prediction of protein molecule properties, which can have implications in drug discovery.