Weisfeiler--Leman and Graph Spectra
Gaurav Rattan, Tim Seppelt

TL;DR
This paper explores the relationship between graph spectra and Weisfeiler-Leman indistinguishability, providing spectral characterizations of graph isomorphism relaxations and resolving open problems in spectral invariants.
Contribution
It introduces a hierarchy of graph matrices that characterize $k$-WL indistinguishability after $d$ iterations, extending the algebraic framework of homomorphism indistinguishability.
Findings
Spectral invariants are strictly finer than 2-WL indistinguishability.
Individualising one vertex and running 1-WL subsumes cospectrality.
A hierarchy of matrices captures $k$-WL indistinguishability after $d$ iterations.
Abstract
Two simple undirected graphs are cospectral if their respective adjacency matrices have the same multiset of eigenvalues. Cospectrality yields an equivalence relation on the family of graphs which is provably weaker than isomorphism. In this paper, we study cospectrality in relation to another well-studied relaxation of isomorphism, namely -dimensional Weisfeiler-Leman (-WL) indistinguishability. Cospectrality with respect to standard graph matrices such as the adjacency or the Laplacian matrix yields a strictly finer equivalence relation than -WL indistinguishability. We show that individualising one vertex plus running -WL already subsumes cospectrality with respect to all such graph matrices. Building on this result, we resolve an open problem of F\"urer (2010) about spectral invariants. Looking beyond -WL, we devise a hierarchy of graph matrices generalising the…
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Taxonomy
TopicsGraph Theory and Algorithms
