MSO transduction recovers the laminar tree from a laminar set system, resolving Courcelle's question and enabling MSO constructions for modular, split, and bi-join decompositions.
Makowsky, and Udi Rotics
4 Pith papers cite this work. Polarity classification is still indexing.
citation-role summary
citation-polarity summary
verdicts
UNVERDICTED 4roles
other 1polarities
unclear 1representative citing papers
Full complexity classification for three b- and fall-coloring problems in H-free graphs plus a separation showing b-Chromatic Number can be NP-hard while Tight b-Chromatic Number is P-time solvable for some H.
Fair MSO1 problems are W[1]-hard parameterized by cluster vertex deletion in general, but admit FPT algorithms under a sufficient condition that includes fair feedback vertex set, vertex cover, dominating set, and odd cycle transversal.
The paper overviews universal obstructions as a unifying framework for graph parameters, surveys existing results across many parameters, and offers some unifying classification results.
citing papers explorer
-
The role of counting quantifiers in laminar set systems
MSO transduction recovers the laminar tree from a laminar set system, resolving Courcelle's question and enabling MSO constructions for modular, split, and bi-join decompositions.
-
Optimal b-Colourings and Fall Colourings in $H$-Free Graphs
Full complexity classification for three b- and fall-coloring problems in H-free graphs plus a separation showing b-Chromatic Number can be NP-hard while Tight b-Chromatic Number is P-time solvable for some H.
-
Fair Vertex Problems Parameterized by Cluster Vertex Deletion
Fair MSO1 problems are W[1]-hard parameterized by cluster vertex deletion in general, but admit FPT algorithms under a sufficient condition that includes fair feedback vertex set, vertex cover, dominating set, and odd cycle transversal.
-
An Overview of Universal Obstructions for Graph Parameters
The paper overviews universal obstructions as a unifying framework for graph parameters, surveys existing results across many parameters, and offers some unifying classification results.