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. 2024 Dec 18;10(51):eadq4324. doi: 10.1126/sciadv.adq4324

Fig. 5. Performance comparison of various methods in link prediction incorporating protein features.

Fig. 5.

(A) Integrating protein features from PLMs as node features in PPI networks for network embedding learning. (B) ROC-AUC scores for DNE and other baseline methods on the Saccharomyces cerevisiae dataset, derived from 10 independent runs. The purple dashed line (ESM only) indicates scenarios using only protein features extracted from ESM-2. Gray boxes indicate cases considering only network structures, while red boxes depict cases incorporating both network structures and node features.