Fig. 5From: Integrating concept of pharmacophore with graph neural networks for chemical property prediction and interpretationThe SOM of the representation learned by RG-MPNN model on the AURKA bioactivity prediction task. Active (positive) molecules and inactive (negative) molecules are mapped to different zones, which means the representation learned by RG-MPNN has a good differentiating effectBack to article page