Table 3 Comparison of the performance of EEG and audio data fusion models at different depths of GCN layers

From: An adaptive multi-graph neural network with multimodal feature fusion learning for MDD detection

Ablation condition

GCN LayerCount

ACC(\(\%\))

PRE(\(\%\))

REC(\(\%\))

F1 Score(\(\%\))

EEG

4

86.11

85.85

84.26

85.05

 

3

90.06

90.20

88.46

89.32

 

2

84.72

87.50

84.26

85.85

 

1

81.94

83.18

82.41

82.79

 

0

73.15

76.04

67.59

71.57

Audio

4

62.50

68.32

63.89

66.03

 

3

90.48

92.36

90.48

91.41

 

2

83.80

88.00

84.15

84.62

 

1

81.94

83.18

82.41

82.79

 

0

73.61

72.64

71.30

71.96