PepLM-GNN: A graph neural network framework leveraging pre-trained language models for peptide-protein binding prediction
Table 5
Ablation experiment performance of PepLM-GNN on the benchmark set using five-fold cross-validation. Ablation variants include: A (pretrained module + classification module), B (pretrained module + GAT + classification module), C (pretrained module + GCN + classification module), D (pretrained module + GIN + classification module), and the complete PepLM-GNN model (pretrained module + GCN + GIN + classification module). All metrics (ACC, AUC) are the mean ± standard deviation across five folds of a five-fold cross-validation.