Fourier transforms on graphs, spectral GCNs, and the heat equation: how diffusion operators connect graph signal processing to cold-start recommendation problems.

The mathematical essentials for recommender systems: from matrix factorization via SVD to graph convolutional networks, and why the spectral perspective unifies both approaches.