Graph Convolution Network (GCN)

Graphs and convolutional neural networks:

Graphs in computer Science are a type of data structure consisting of vertices ( a.k.a. nodes) and edges (a.k.a connections). Graphs are useful as they are used in real world models such as molecular structures, social networks etc.

Graphs can be represented with a group of vertices and edges and can also be represented by an image depicting the connection between the nodes. For example let’s consider a chemical molecule in which there are several atoms...