Graph-Neural-Networks-in-Life-Sciences

This repository provides a hands-on tutorial on using graph neural networks (GNNs) for various applications in life sciences, including predicting properties of small and macro-molecules, and drug discovery. It includes practical sessions on training GNN models for molecular property prediction and binding affinity prediction for protein-ligand pairs.