Monopolar graphs: complexity of computing classical graph parameters
From MaRDI portal
Publication:2659081
DOI10.1016/j.dam.2020.12.023OpenAlexW3116541381MaRDI QIDQ2659081
Publication date: 25 March 2021
Published in: Discrete Applied Mathematics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.dam.2020.12.023
computational complexitystable setgraph coloringclique partitioningmonopolar graphmaximum-weight clique
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Algorithms for unipolar and generalized split graphs
- Solving partition problems with colour-bipartitions
- Dominating sets for split and bipartite graphs
- Polar graphs and maximal independent sets
- Polarity of chordal graphs
- Clustering and domination in perfect graphs
- On clique partitions of split graphs
- Some simplified NP-complete graph problems
- Trivially perfect graphs
- The NP-completeness of (1,r)-subcolorability of cubic graphs
- Parameterized algorithms for recognizing monopolar and 2-subcolorable graphs
- Vertex-partitioning into fixed additive induced-hereditary properties is NP-hard
- On NP-hardness of the clique partition -- independence number gap recognition and related problems
- Complexity and algorithms for recognizing polar and monopolar graphs
- Line-Polar Graphs: Characterization and Recognition
- Polar Permutation Graphs
- A New Algorithm for Generating All the Maximal Independent Sets
- On the Polarity and Monopolarity of Graphs
This page was built for publication: Monopolar graphs: complexity of computing classical graph parameters