I would want to know the fundamental difference between eigenvalues and singular values when applied to spectral analysis of graphs' adjacency and laplacian. As far as I know the SVDs can be worked on nonsquared matrices but adjacency and laplacians are squared matrices and they would be symmetric if the graph is undirected.

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