Fig. 1: Schematic method overview.
From: Structure-based protein function prediction using graph convolutional networks

a LSTM language model, pre-trained on ~10 million Pfam protein sequences, used for extracting residue-level features of PDB sequence. b Our GCN with three graph convolutional layers for learning complex structure–function relationships.