Adaptive Sampling Towards Fast Graph Representation Learning

By making use of local connection and weight sharing, CNNs are able to pursue translational invariance of the data. In many other contexts, however, the input data are lying on irregular or non-euclidean domains, such as graphs which encode the pairwise relationships.