Skip to main content

Table 7 PubTator 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

98.85

99.01

83.67

75.97

99.93*

93.86*

95.51*

70.78*

62.16*

99.89

Walk

Concat

99.20

99.30

91.01

85.46

99.94*

93.99

95.70

71.11

62.65

99.89

LINE

Average

99.10*

99.23*

90.36*

84.56

99.97

88.68*

92.27*

55.61*

46.41*

99.89

 

Concat

99.13

99.24

90.07

84.03

99.95*

90.32

93.01

62.51

53.21

99.89

node-

Average

98.71

98.90

82.98

75.29

99.94*

88.40

92.07

55.72

46.48

99.87

2vec

Concat

99.16

99.21

88.94

82.14

99.92*

88.13

91.83

53.24

43.69

99.84

AA

N/A

92.92

84.56

56.48

66.38

83.33

85.10

80.24

35.49

40.13

90.56

CN

N/A

98.40

98.28

79.84

87.10

99.94*

88.37

88.83

43.67

46.59

99.84

JI

N/A

92.36

87.59

65.44

59.74

91.21

86.08

83.52

38.66

38.75

94.27

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