Using GNN property predictors as molecule generators

Félix Therrien, Edward H. Sargent, Oleksandr Voznyy

Graph neural networks (GNNs) have emerged as powerful tools to accurately predict materials and molecular properties in computational discovery pipelines. In this article, we explo…