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Table 2 Comparison of different models

From: Predicting lncRNA-disease associations using multiple metapaths in hierarchical graph attention networks

Model

AUC (%)

AUPR (%)

ACC (%)

Recall (%)

F1-score (%)

BiGAN

89.32

88.57

80.16

79.90

80.05

HOPEXGB

89.88

76.67

99.34

79.87

86.91

VGAELDA

91.26

76.58

97.18

40.97

58.63

GCRFLDA

95.48

95.12

88.59

86.89

87.55

SIMCLDA

84.33

88.24

75.49

89.97

78.59

GAMLDA

93.35

3.75

48.99

93.64

1.91

MMHGAN

96.07

93.23

89.43

89.03

88.40