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  1. Home > Articles & Issues >
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  3. Destroying Multicolo ...
Article

Destroying Multicolored Paths and Cycles in Edge-Colored Graphs

Nils Jakob Eckstein, Niels Grüttemeier, Christian Komusiewicz, Frank Sommer
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Open on arXiv
Submitted on
June 30, 2021
Accepted on
February 17, 2023
Published on
March 3, 2023
Last modified on
March 27, 2025
Volume 25
vol. 25:1
Graph Theory
DOI
10.46298/dmtcs.7636
License
Attribution 4.0 International (CC BY 4.0)
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1446
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1158
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Destroying Multicolored Paths and Cycles in Edge-Colored Graphs

Nils Jakob Eckstein, Niels Grüttemeier, Christian Komusiewicz, Frank Sommer
Abstract
We study the computational complexity of $c$-Colored $P_\ell$ Deletion and $c$-Colored $C_\ell$ Deletion. In these problems, one is given a $c$-edge-colored graph and wants to destroy all induced $c$-colored paths or cycles, respectively, on $\ell$ vertices by deleting at most $k$ edges. Herein, a path or cycle is $c$-colored if it contains edges of $c$ distinct colors. We show that $c$-Colored $P_\ell$ Deletion and $c$-Colored $C_\ell$ Deletion are NP-hard for each non-trivial combination of $c$ and $\ell$. We then analyze the parameterized complexity of these problems. We extend the notion of neighborhood diversity to edge-colored graphs and show that both problems are fixed-parameter tractable with respect to the colored neighborhood diversity of the input graph. We also provide hardness results to outline the limits of parameterization by the standard parameter solution size $k$. Finally, we consider bicolored input graphs and show a special case of $2$-Colored $P_4$ Deletion that can be solved in polynomial time. Comment: 31 pages
Keywords
  • Computer Science - Data Structures and Algorithms
  • Computer Science - Discrete Mathematics
  • Mathematics - Combinatorics
Mathematics Subject Classification 2020
  • 05C15 - Coloring of graphs and hypergraphs
  • 05C38 - Paths and cycles
  • 68Q17 - Computational difficulty of problems (lower bounds, completeness, difficulty of approximation, etc.)
  • 68Q27 - Parameterized complexity, tractability and kernelization
Cited by

Source: OpenCitations

  • Graph augmentation against structural poisoning attacks via structure and attribute reconciliation

    International Journal of Machine Learning and Cybernetics

    Authors : Yumeng Dai, Yifan Shao, Chenxu Wang ORCID, Xiaohong Guan

    Journal reference : Volume 16, 2024, pp. 7259-7275

    DOI : 10.1007/s13042-024-02380-4
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