2017/02/14 by Iyad Kanj, Christian Komusiewicz, Kanj, Iyad +5 · 1 citation
Computer Science · #Advanced Graph Theory Research #Computational Complexity (cs.CC) #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #Graph Labeling and Dimension Problems
paper · pdf · doi:10.48550/arxiv.1702.04322
openalex publication_date 2017/02/14 · openalex created_date 2022/10/02 · openalex updated_date 2026/07/28
A graph G is a (\ΠA,\ΠB)-graph if V(G) can be bipartitioned into\nA and B such that G[A] satisfies property \ΠA and G[B] satisfies\nproperty \ΠB. The (\ΠA,\ΠB)-Recognition problem is to recognize\nwhether a given graph is a (\ΠA,\ΠB)-graph. There are many\n(\ΠA,\ΠB)-Recognition problems, including the recognition problems\nfor bipartite, split, and unipolar graphs. We present efficient algorithms for\nmany cases of (\ΠA,\ΠB)-Recognition based on a technique which we dub\ninductive recognition. In particular, we give fixed-parameter algorithms for\ntwo NP-hard (\ΠA,\ΠB)-Recognition problems, Monopolar Recognition and\n2-Subcoloring. We complement our algorithmic results with several hardness\nresults for (\ΠA,\ΠB)-Recognition.\n