Mim-Width is paraNP-complete
Benjamin Bergougnoux, \'Edouard Bonnet, Julien Duron

TL;DR
This paper proves that computing mim-width and related parameters is paraNP-complete, meaning it remains NP-hard even when restricted to graphs with bounded mim-width or sim-width.
Contribution
It establishes the paraNP-completeness of mim-width, sim-width, and their linear variants, highlighting their computational intractability even with bounded parameters.
Findings
NP-hard to distinguish graphs with small mim-width from those with large sim-width
Mim-Width and related parameters are paraNP-complete to compute
Computational intractability persists even with upper bounds on these parameters
Abstract
We show that it is NP-hard to distinguish graphs of linear mim-width at most 1211 from graphs of sim-width at least 1216. This implies that Mim-Width, Sim-Width, One-Sided Mim-Width, and their linear counterparts are all paraNP-complete, i.e., NP-complete to compute even when upper bounded by a constant.
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.
