Graph Neural Networks, Deep Learning, Machine Learning, Artificial Intelligence, Gnn.
g(i, j) can be learned, inspired by how CNNs learn spatially localized filters. Spatial methods avoid the computational issues of spectral techniques. However, spectral filters leverage the global graph structure and can implement true frequency selective filtering. Developing fast localized filter