Graph Neural Networks, Deep Learning, Machine Learning, Artificial Intelligence, Gnn.
Spectral Filtering An important application of the graph Fourier transform is defining graph convolution for data on irregular graphs. In classical signal processing, convolution of a signal x with a filter g is defined as: (x ∗ g)(t) = ∫ x(τ)g(t — τ)dτ This has an intuitive interpretation as