Graph Neural Networks, Deep Learning, Machine Learning, Artificial Intelligence, Gnn.
and provides a domain adapted to the particular G. Properties of the Graph Fourier Transform The graph Fourier transform has several key properties: Orthogonality: The eigenvectors ul are orthogonal ⟨ui, uj⟩ = 0 for i ≠ j. This means graph frequencies do not interfere with each other. Completeness: