Reducing Graph Parameters by Contractions and Deletions
Felicia Lucke, Felix Mann

TL;DR
This paper investigates the complexity of reducing graph parameters like independence number and chromatic number through fixed operations such as vertex deletion, edge contraction, and edge deletion, providing new NP-hardness results and polynomial algorithms.
Contribution
It establishes NP-hardness for several graph parameter reduction problems and offers polynomial algorithms for specific graph classes, completing the complexity classification for these problems.
Findings
NP-hardness for independence number reduction via vertex deletion and edge contraction.
Polynomial-time algorithm for bipartite graphs with edge contraction and fixed d.
NP-hardness in (C_3+P_1)-free graphs for clique number reduction.
Abstract
We consider the following problem: for a given graph and two integers and , can we apply a fixed graph operation at most times in order to reduce a given graph parameter by at least ? We show that this problem is NP-hard when the parameter is the independence number and the graph operation is vertex deletion or edge contraction, even for fixed and when restricted to chordal graphs. We give a polynomial time algorithm for bipartite graphs when the operation is edge contraction, the parameter is the independence number and is fixed. Further, we complete the complexity dichotomy on -free graphs when the parameter is the clique number and the operation is edge contraction by showing that this problem is NP-hard in -free graphs even for fixed . When the operation is edge deletion and the parameter is the chromatic number, we determine the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Graph Theory Research · Limits and Structures in Graph Theory · Complexity and Algorithms in Graphs
