A pseudo-inverse of a line graph

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.

Publication Details

Journal
ArXiv.org
Published
2025-08-13
Primary Topic
Graph Theory and Algorithms
Type
article
Field-Weighted Citation Impact
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article

A pseudo-inverse of a line graph

ArXiv.org
Graph Theory and Algorithms
article

A pseudo-inverse of a line graph

article en

Abstract

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.

ArXiv.org
Openalex Percentile: Top 48%
Graph Theory and Algorithms
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A pseudo-inverse of a line graph · ArXiv.org (2025) | TGRS Research Map | TGRS