A pseudo-inverse of a line graph

Fuente: arXiv
Salvato in:
Dettagli Bibliografici
Autori principali: Kandanaarachchi, Sevvandi, Kilby, Philip, Ong, Cheng Soon
Natura: Preprint
Pubblicazione: 2025
Soggetti:
Accesso online:
Tags: Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
_version_ 1866915540547665920
author Kandanaarachchi, Sevvandi
Kilby, Philip
Ong, Cheng Soon
author_facet Kandanaarachchi, Sevvandi
Kilby, Philip
Ong, Cheng Soon
contents Line graphs are an alternative representation of graphs where each vertex of the original (root) graph becomes an edge. However not all graphs have a corresponding root graph, hence the transformation from graphs to line graphs is not invertible. We investigate the case when there is a small perturbation in the space of line graphs, and try to recover the corresponding root graph, essentially defining the inverse of the line graph operation. We propose a linear integer program that edits the smallest number of edges in the line graph, that allow a root graph to be found. We use the spectral norm to theoretically prove that such a pseudo-inverse operation is well behaved. Illustrative empirical experiments on Erdős-Rényi graphs show that our theoretical results work in practice.
format Preprint
id arxiv_https___arxiv_org_abs_2508_09412
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle A pseudo-inverse of a line graph
Kandanaarachchi, Sevvandi
Kilby, Philip
Ong, Cheng Soon
Machine Learning
Optimization and Control
Line graphs are an alternative representation of graphs where each vertex of the original (root) graph becomes an edge. However not all graphs have a corresponding root graph, hence the transformation from graphs to line graphs is not invertible. We investigate the case when there is a small perturbation in the space of line graphs, and try to recover the corresponding root graph, essentially defining the inverse of the line graph operation. We propose a linear integer program that edits the smallest number of edges in the line graph, that allow a root graph to be found. We use the spectral norm to theoretically prove that such a pseudo-inverse operation is well behaved. Illustrative empirical experiments on Erdős-Rényi graphs show that our theoretical results work in practice.
title A pseudo-inverse of a line graph
topic Machine Learning
Optimization and Control
url https://arxiv.org/abs/2508.09412