English

On Maximum Common Subgraph Problems in Series-Parallel Graphs

Data Structures and Algorithms 2017-08-10 v1 Computational Complexity

Abstract

The complexity of the maximum common connected subgraph problem in partial kk-trees is still not fully understood. Polynomial-time solutions are known for degree-bounded outerplanar graphs, a subclass of the partial 22-trees. On the other hand, the problem is known to be NP{\bf NP}-hard in vertex-labeled partial 1111-trees of bounded degree. We consider series-parallel graphs, i.e., partial 22-trees. We show that the problem remains NP{\bf NP}-hard in biconnected series-parallel graphs with all but one vertex of degree 33 or less. A positive complexity result is presented for a related problem of high practical relevance which asks for a maximum common connected subgraph that preserves blocks and bridges of the input graphs. We present a polynomial time algorithm for this problem in series-parallel graphs, which utilizes a combination of BC- and SP-tree data structures to decompose both graphs.

Keywords

Cite

@article{arxiv.1708.02772,
  title  = {On Maximum Common Subgraph Problems in Series-Parallel Graphs},
  author = {Nils Kriege and Florian Kurpicz and Petra Mutzel},
  journal= {arXiv preprint arXiv:1708.02772},
  year   = {2017}
}

Comments

accepted for publication in the European Journal of Combinatorics

R2 v1 2026-06-22T21:10:17.591Z