Post #69

Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural Networks A new short survey on GNNs, submission to IJCAI survey track. * It formulates popular GNNs in the same context, i.e. Z = f(G)X, where Z is matrix of embeddings, f(G) is GNN function, and X is matrix of features. This helps to compare different GNNs by purely looking at f(G) function. * It provides examples for different local aggregation schemes, order of neighborhoods, and directions on the edges. * It discusses common GNNs from spectral perspective.