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Table 1 Parameter settings of the CMAGN model

From: CMAGN: circRNA–miRNA association prediction based on graph attention auto-encoder and network consistency projection

Module

Parameter

Setting

Similarity network construction

Threshold T

0.8

GATE

Number of layers

2

Number of neurons

128, 64

Learning rate

0.001

Dropout

0.5

\(\lambda\)

1

Node2vec

Dimension

128

Number of paths

10

Length of paths

80

p

1

q

1