Multilabel prediction of virus target proteins via multimodal graph representation learning
Fig 4
Performance comparison of MultiVTP and baseline methods on the dataset.
(A) ROC curves of MultiVTP and HIVPRE for HIV-1 target prediction. (B) Precision-recall curves of MultiVTP and HIVPRE for HIV-1 target prediction. (C) Performance of MultiVTP and machine learning methods. BR: binary relevance, CC: classifier chains, and LP: label powerset. (D) Comparison of AUPR between MultiVTP and baseline methods (i.e., MLP and other machine learning models with the optimal learning strategy). Viruses are sorted from left to right in descending order of VTP counts. (E) Performance of various approaches after removing different fractions of training VTPs. (F) Few-shot evaluation of scratch-trained and fine-tuned MultiVTP.