By learning the relevant features of clinical images along with the relationships between them, the neural network can outperform more traditional methods.

Graph convolutional networks (GCNs) emerge as the most successful learning models for graph-structured data. Despite their success, existing GCNs usually ignore the entangled latent factors typically ...