Why Graphs?
Graph Convolution Networks (GCNs) [0] deal with graphs where the data form with a graph structure. A typical graph is represented as G(V, E), where V is the collection of all the nodes and Eis the collection of all the edges.
Continue reading “Understanding Graph Convolutional Networks”
