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FastGCN Fast Learning with Graph Convolutional Networks via Importance Sampling

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.