Precision-recall curves for models and AUPRC values were obtained using the 'precrec' library in R programming language. The EGNN model outperforms all the other models with values of 0.9250, 0.9212, 0.9091, 1.0000, 0.9524, and 0.8861 for AUROC, AUPRC, precision, recall, F1 score, and Cohen's kappa respectively (Table ). Comparing precision-recall curves of these four models (Figure ) also confirmed that the EGNN model outperforms all three other models. Taken together, the combined local and global features in EGNN gives the best performance with the Incyte dataset.