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Table 5 Performance of AUC values based on multi-task models

From: Large-scale comparison of machine learning methods for profiling prediction of kinase inhibitors

Single models

AUROC

Multi-task models

AUROC

GCN

0.729

Multi-GCN

0.785

GAT

0.675

Multi-GAT

0.713

FP-GNN

0.704

FP-GNN

0.807

Chemprop

0.717

Chemprop

0.798

AttentiveFP

0.674

AttentiveFP

0.667

MPNN

0.658

Multi-DNN::Morgan

0.556