Graph-Based Networks for Accurate Prediction of Ground and Excited State Molecular Properties from Minimal Features

Graph neural networks (GNN) have been demonstrated to correlate molecular structure with properties, enabling rapid evaluation of molecules for a given application. Molecular properties, including ground and excited states, are...