Convolutional Neural Network Architectures for Signals Supported on Graphs

1 May 2018Fernando GamaAntonio G. MarquesGeert LeusAlejandro Ribeiro

Two architectures that generalize convolutional neural networks (CNNs) for the processing of signals supported on graphs are introduced. We start with the selection graph neural network (GNN), which replaces linear time invariant filters with linear shift invariant graph filters to generate convolutional features and reinterprets pooling as a possibly nonlinear subsampling stage where nearby nodes pool their information in a set of preselected sample nodes... (read more)

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