MAGIN-GO: Protein function prediction based on dual graph neural networks and gene ontology structure
Fig 2
The structure of the GMSA module involves processing the inputs through a GCN to generate the query vector (Q), key vector (K), and value vector (V). Protein context information is then captured using a multi-head self-attention mechanism.