FastGCN Fast Learning with Graph Convolutional Networks via Importance Sampling 2018-10-19 Graph Neural Network IntroductionBorrowing the concept of a convolution filter for image pixels or a linear array of signals, GCN uses the connectivity structure of the graph as the filter to perform neighborhood mixing.