Table 1.

The pseudocode

Input:

miRNA–miRNA similarities matrix, disease–disease similarities matrix, adjacent matrix A;

Construct the input graph G = (V,E)

Output:

Initialize embedded dimension, learning rate, training epoch, dropout rates;

Initialize embeddings;

Iterate according to the layerwise propagation rule of GCN;

Introduce an attention mechanism;

Combine other embeddings and obtain final embeddings of miRNAs and diseases;

Obtain the Loss function