Graph Neural Networks, Deep Learning, Machine Learning, Artificial Intelligence, Gnn.
by stacking multiple learned filtering layers. This develops extremely flexible models for graph learning tasks. Localized Filtering One limitation of the spectral graph convolution is the eigendecomposition of L is expensive for large graphs. We also have to recompute it when the graph structure