For a comprehensive review of GNN models, we refer readers to the relevant literature. In our work, we employ the Directed-Message Passing Neural Network (D-MPNN) / Feed-Forward Neural Network (FFNN) model implemented in Chemprop v2, a molecular deep learning architecture that has proven effective in predicting a variety of molecular properties with high accuracy. Both the molecular representation and the FFNN weights are simultaneously learned during training. The final trained models are available on Zenodo (doi:10.5281/zenodo.13987782).