Algorithmic methods of finite discrete structures. Isomorphism of Nonseparable Graphs
Sergey Kurapov, Maxim Davidovsky

TL;DR
This paper introduces a novel approach to graph isomorphism using spectra of edge cuts and cycles, based on incidence matrices, and proves their sufficiency for determining graph isomorphism.
Contribution
It proposes a new spectral method for graph isomorphism based on edge cuts and cycles, extending previous structural analysis techniques.
Findings
Spectra of edge cuts and cycles determine graph isomorphism.
Construction of spectra is independent of vertex and edge numbering.
The method relates to Whitney's theorem on graph structure.
Abstract
In this monography, it is proposed to consider the concepts of spectra of edge cuts and edge cycles of a graph as a basic mathematical structure for solving the problem of graph isomorphism. An edge cut is defined by an edge and the vertices incident to it. In contrast to the generation of iterated edge graphs, we consider an iterated chain of qualicuts of the original graph, generated by edge cuts and determined by a recurrence relation. An edge cycle is defined by the set of isometric cycles of a graph. The monography examines the issues of constructing the spectrum of edge cuts Ws and the spectrum of edge cycles Tc of a graph G. It is shown that the formation of spectra is based on the incidence matrix of the graph. The independence of the construction of the graph structure from the numbering of vertices and edges is shown. The necessity and sufficiency of the spectra of edge cuts…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Theoretical and Applied Studies in Material Sciences and Geometry · Advanced Computational Techniques in Science and Engineering · Mathematical Control Systems and Analysis
