activity
20132026
most citedOn the Generalised Colouring Numbers of Graphs that Exclude a Fixed Minor

8 citations · 66 across the 52 of their papers we have counts for

collaborators

70 papers

cs.DS2026

Almost Optimal Constant-Round Approximation of Dominating Set in Graph Classes with Excluded Minors

Saeed Amiri, Sebastian Siebertz

For every fixed proper minor-closed class and every , we give a deterministic LOCAL algorithm that returns a dominating set of size at most $(2a(\mathscr C)+1+ε)γ…

cs.LO2026

A Logic for Minor-Free Graph Classes: Model Checking, Dependence, and Combinatorial Reconfiguration

Nikolas Mählmann, Patrice {Ossona de Mendez}, Nicole Schirrmacher +4

We introduce \emph{sub-connectivity logic}, denoted by , an extension of first-order logic for graphs with a specified set of admissible edges. Its additional…

cs.CC2026

On the Parameterized Complexity of Coloring Discovery

Eric Decker, Sebastian Siebertz

Coloring Discovery asks whether a possibly improper initial coloring can be made proper within a prescribed number of allowed changes. We study the parameterized complexity of thre…

cs.LO2026

Model Checking for Low Monodimensionality Fragments of CMSO on Topological-Minor-Free Graph Classes

Ignasi Sau, Nicole Schirrmacher, Sebastian Siebertz +3

Algorithmic meta-theorems explain the tractability of large classes of computational problems by linking logical expressibility with structural graph properties. While extensions o…

cs.DM2026

Separating Feasibility and Movement in Solution Discovery: The Case of Path Discovery

Hanno von Bergen, Larissa Fastenau, Enna Gerhard +8

We study solution discovery, where the goal is to obtain a feasible solution to a problem from an initial configuration by a bounded sequence of local moves. In many applications,…

cs.DM2026

On merge-models

Hector Buffière, Yuquan Lin, Jaroslav Nešet{ř}il +2

Tree-ordered weakly sparse models have recently emerged as a robust framework for representing structures in an ``almost sparse'' way, while allowing the structure to be reconstruc…