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Table 1 Comparison of HGCNELMDA and other models for fivefold cross-validation

From: Computational method using heterogeneous graph convolutional network model combined with reinforcement layer for MiRNA–disease association prediction

Control group

AUC (%)

AUPR (%)

ACC (%)

HGCNELMDA

93.01

85.37

84.36

FCGCNMDA

92.85

83.69

82.51

CNMDA

85.33

76.31

75.17

EDTMDA

91.92

83.92

83.25

RKNNMDA

82.21

73.83

72.92

MCMDA

86.47

75.62

73.72

IMIPMF

89.32

80.56

81.36

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BMC Bioinformatics

ISSN: 1471-2105

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