Approximating Maximum Edge 2-Coloring by Normalizing Graphs

In a simple, undirected graph G, an edge 2-coloring is a coloring of the edges such that no vertex is incident to edges with more than 2 distinct colors. The problem maximum edge 2-coloring (ME2C) is to find an edge 2-coloring in a graph G with the goal to maximize the number of colors. For a relevant graph class, ME2C models anti-Ramsey numbers and it was considered in network applications. For the problem a 2-approximation algorithm is known, and if the input graph has a perfect matching, the same algorithm has been shown to have a performance guarantee of 5/3. It is known that ME2C is APX-hard and that it is UG-hard to obtain an approximation ratio better than 1.5. We show that if the input graph has a perfect matching, there is a polynomial time 1.625-approximation and if the graph is claw-free or if the maximum degree of the input graph is at most three (i.e., the graph is subcubic), there is a polynomial time 1.5-approximation algorithm for ME2C Comment: 24 pages, 6 figures, preliminary version published at WAOA 2023

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Publication Details

Journal
Discrete Mathematics & Theoretical Computer Science
Published
2025-05-01
DOI
https://doi.org/10.46298/dmtcs.13212
Primary Topic
Graph Labeling and Dimension Problems
Type
article
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article

Approximating Maximum Edge 2-Coloring by Normalizing Graphs

Tobias Mömke, Roland Vincze, Aida Roshany-Tabrizi, Michael Ruderer et al.
1 links
Discrete Mathematics & Theoretical Computer Science
Graph Labeling and Dimension Problems
article

Approximating Maximum Edge 2-Coloring by Normalizing Graphs

Tobias Mömke, Roland Vincze, Aida Roshany-Tabrizi, Michael Ruderer, Alexandru Popa
article en

Abstract

In a simple, undirected graph G, an edge 2-coloring is a coloring of the edges such that no vertex is incident to edges with more than 2 distinct colors. The problem maximum edge 2-coloring (ME2C) is to find an edge 2-coloring in a graph G with the goal to maximize the number of colors. For a relevant graph class, ME2C models anti-Ramsey numbers and it was considered in network applications. For the problem a 2-approximation algorithm is known, and if the input graph has a perfect matching, the same algorithm has been shown to have a performance guarantee of 5/3. It is known that ME2C is APX-hard and that it is UG-hard to obtain an approximation ratio better than 1.5. We show that if the input graph has a perfect matching, there is a polynomial time 1.625-approximation and if the graph is claw-free or if the maximum degree of the input graph is at most three (i.e., the graph is subcubic), there is a polynomial time 1.5-approximation algorithm for ME2C Comment: 24 pages, 6 figures, preliminary version published at WAOA 2023

Discrete Mathematics & Theoretical Computer ScienceVol. vol. 27:2(Discrete Algorithms)
Openalex Percentile: Top 90%
Graph Labeling and Dimension Problems
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Approximating Maximum Edge 2-Coloring by Normalizing Graphs — Tobias Mömke, Roland Vincze, et al. · Discrete Mathematics & Theoretical Computer Science (2025) | TGRS Research Map | TGRS