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Table 6 BioGRID random-slice and time-slice results

From: Neural networks for link prediction in realistic biomedical graphs: a multi-dimensional evaluation of graph embedding-based approaches

  

Random slice

Time slice

 

Node

AUC

AUC

 

Avg.

Prec

AUC

AUC

 

Avg.

Prec

Method

combination

(ROC)

(PR)

MAP

R-prec

@ k

(ROC)

(PR)

MAP

R-prec

@ k

Deep-

Average

97.69

97.62

79.24

73.86

99.30

89.40

90.10

68.94

63.30

97.25*

Walk

Concat

97.74

97.65

82.48

77.70

99.18

92.12

92.78

71.61

65.96

98.04

LINE

Average

98.10*

97.80*

83.13*

78.22*

99.54*

91.86

92.31

72.85

67.76

97.40

 

Concat

98.08

97.76

82.94

78.04

99.29

93.55

93.74

73.60

68.57

97.90

node-

Average

98.32*

97.97*

85.70*

81.17*

99.38*

95.25

95.43

74.91

70.39

98.26

2vec

Concat

98.51

98.26

86.49

81.84

99.49*

93.66

94.66*

73.48

68.77

98.40*

AA

N/A

86.10

90.75

70.97

57.65

96.13

77.46

87.69

74.84

61.39

98.10

CN

N/A

91.20

94.96

75.72

69.81

99.64

85.07

91.81

76.20

67.73

99.38

JI

N/A

90.80

93.95

73.93

68.79

98.59

84.74

90.20

75.60

67.49

97.45

  1. (Bold: best score, *: not statistically different from best)