HGRL-DTA

HGRL-DTA is a PyTorch implementation designed for predicting drug-target binding affinity using hierarchical graph representation learning. It utilizes datasets like Davis and KIBA to train and evaluate its model, making it a valuable tool in the field of drug discovery.