Semi-Supervised Classification on Non-Sparse Graphs Using Low-Rank Graph Convolutional Networks

Dominik Alfke, Martin Stoll

Graph Convolutional Networks (GCNs) have proven to be successful tools for semi-supervised learning on graph-based datasets. For sparse graphs, linear and polynomial filter functio…