NHGNN-DTA

NHGNN-DTA is a tool designed for predicting drug-target binding affinity using a node-adaptive hybrid graph neural network. It includes functionalities for data preparation, model training, and evaluation, making it relevant for molecular property prediction in the context of drug discovery.