As shown in figure, the FP-GNN architecture first combined the molecular graph and three complementary molecular fingerprints into the flexible and dynamic neural network. The simplified molecular input line entry system (SMILES) notation of the molecule was inputted to two paths of the FP-GNN architecture.
The outcomes received from the two paths were then fitted together and imported into fully connected layers to produce the ultimate output.