Fig. 1From: Identifying cancer driver genes based on multi-view heterogeneous graph convolutional network and self-attention mechanismThe framework of MRNGCN. Our model is divided into four parts: a constructing three relational networks and preparing node attributes, b learning the features of gene nodes in each network, c fusing the gene features learned fromthe three networks, and d optimize model parameters and predict cancer driversBack to article page