Tag - Graph Neural

Can Graph Neural Networks Truly Predict Drug Molecule Effectiveness?

This diagram outlines the various phases of the analysis process, encompassing the creation of interaction graphs derived from X-ray structures. These graphs are instrumental in training and testing a Graph Neural Network (GNN) to forecast numerical affinity values. The subsequent steps involve pinpointing the significance of edges in making predictions and identifying subgraphs that...