Consider the graph G(V,E). The embedding starts from the graph incidence matrix with each column (equivalently row) representing the local neighborhood for each graph vertex. Each vertex is then ...

In this paper, FCGCNMDA is presented to predict latent miRNA-disease associations by utilizing fully connected graph convolutional networks. Specially, our method first constructs a fully connected ...

This is the graph of a model for which it was first discovered that SILS can fail to capture all independent loops. The function fully_connected.m takes a value n and creates an nxn adjacency matrix ...

Contingency Analysis,Convolutional Neural Network,Dynamic Model,Dynamic Response,Edge Features,Fully-connected Layer,Graph Convolutional Network,Graph Convolutional Network Model,Health ...