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Table 6 Ablation experimental results on ChCh-Miner dataset

From: Multi-type feature fusion based on graph neural network for drug-drug interaction prediction

Method

AUROC

AUPRC

F1

–GWU

95.89 ± 0.15

97.26 ± 0.18

94.97 ± 0.67

–Gating

96.28 ± 0.23

97.78 ± 0.31

95.28 ± 0.20

–Contrastive

96.07 ± 0.28

97.85 ± 0.15

94.38 ± 0.06

MFFGNN

97.02 ± 0.25

98.45 ± 0.06

96.94 ± 0.39

  1. The best results are highlighted in bold