Groups
Category
Spectral graph theory studies graphs by looking at eigenvalues and eigenvectors of matrices like the adjacency matrix A and Laplacians L and L_norm.
Eigenvalue decomposition rewrites a square matrix as a change of basis that reveals how it stretches and rotates space.