Table 3 Accuracy for different structures with varying numbers of GCN layers. Light denotes a scenario where hidden dimensions halve repeatedly, and full denotes a scenario where hidden dimensions remain constant. In parentheses, the hidden dimension of the first layer of GCN is indicated. L represents the total number of GCN layers.

From: Alzheimer’s disease recognition using graph neural network by leveraging image-text similarity from vision language model

Architecture

\(L=1\)

\(L=2\)

\(L=3\)

\(L=4\)

\(L=5\)

Light (128)

83.10

88.73

90.14

83.10

83.10

Light (256)

83.10

87.32

91.55

90.14

76.06

Full (128)

88.73

84.51

88.73

84.51

76.06

Full (256)

88.73

88.73

81.69

81.69

83.10