activity
20122026
most citedKernelization Using Structural Parameters on Sparse Graph Classes

13 citations · 48 across the 26 of their papers we have counts for

collaborators

39 papers

cs.DS2026

A characterization of one-sided error testable graph properties in bounded degeneracy graphs

Oded Lachish, Amit Levi, Ilan Newman +1

We consider graph property testing in -degenerate graphs under the random neighbor oracle model (Czumaj and Sohler, FOCS 2019). In this framework, a tester explores a graph by s…

cs.DS2025

A practical algorithm for 3-admissibility

Christine Awofeso, Patrick Greaves, Oded Lachish +1

The -admissibility of a graph is a promising measure to identify real-world networks that have an algorithmically favourable structure. We design an algorithm that decides wheth…

cs.DS2025

Efficient Trace Frequency Queries in Sparse Graphs

Christine Awofeso, Pål Grønås Drange, Patrick Greaves +2

Understanding how a vertex relates to a set of vertices is a fundamental task in graph analysis. Given a graph and a vertex set , consider the collection of s…

cs.DS2025

A sufficient condition for characterizing the one-sided testable properties of families of graphs in the Random Neighbour Oracle Model

Christine Awofeso, Patrick Greaves, Oded Lachish +2

We study property testing in the \emph{random neighbor oracle} model for graphs, originally introduced by Czumaj and Sohler [STOC 2019]. Specifically, we initiate the study of char…

cs.DS2025

Counting large patterns in degenerate graphs

Christine Awofeso, Patrick Greaves, Oded Lachish +1

The problem of subgraph counting asks for the number of occurrences of a pattern graph as a subgraph of a host graph and is known to be computationally challenging: it is $…

cs.DS2025

A practical algorithm for 2-admissibility

Christine Awofeso, Patrick Greaves, Oded Lachish +1

The -admissibility of a graph is a promising measure to identify real-world networks which have an algorithmically favourable structure. In contrast to other related measures, l…

cs.RO2024

A Space-Efficient Algebraic Approach to Robotic Motion Planning

Matthias Bentert, Daniel Coimbra Salomao, Alex Crane +3

We consider efficient route planning for robots in applications such as infrastructure inspection and automated surgical imaging. These tasks can be modeled via the combinatorial p…

cs.RO2024

Leveraging Fixed-Parameter Tractability for Robot Inspection Planning

Yosuke Mizutani, Daniel Coimbra Salomao, Alex Crane +5

Autonomous robotic inspection, where a robot moves through its environment and inspects points of interest, has applications in industrial settings, structural health monitoring, a…

cs.DS2024

Correlation Clustering with Vertex Splitting

Matthias Bentert, Alex Crane, Pål Grønås Drange +2

We explore Cluster Editing and its generalization Correlation Clustering with a new operation called permissive vertex splitting which addresses finding overlapping clusters in the…

cs.DS2023

Computing complexity measures of degenerate graphs

Pål Grønås Drange, Patrick Greaves, Irene Muzi +1

We show that the VC-dimension of a graph can be computed in time , where is the degeneracy of the input graph. The core idea of our algorithm is a data s…

math.CO2022

When you come at the kings you best not miss

Oded Lachish, Felix Reidl, Chhaya Trehan

A tournament is an orientation of a complete graph. We say that a vertex in a tournament controls another vertex if there exists a directed path of length at most…

cs.DS2021

Harmless Sets in Sparse Classes

Pål Grønås Drange, Irene Muzi, Felix Reidl

In the classic TARGET SAT SELECTION problem, we are asked to minimise the number of nodes to activate so that, after the application of a certain propagation process, all nodes of…

cs.DS2020

A general kernelization technique for domination and independence problems in sparse classes

Carl Einarson, Felix Reidl

We unify and extend previous kernelization techniques in sparse classes [6,17] by defining water lilies and show how they can be used in bounded expansion classes to construct line…

cs.DS2020

A color-avoiding approach to subgraph counting in bounded expansion classes

Felix Reidl, Blair D. Sullivan

We present an algorithm to count the number of occurrences of a pattern graph as an induced subgraph in a host graph . If belongs to a bounded expansion class, the algor…

cs.DS2019

Domination above r-independence: does sparseness help?

Carl Einarson, Felix Reidl

Inspired by the potential of improving tractability via gap- or above-guarantee parametrisations, we investigate the complexity of Dominating Set when given a suitable lower-bound…

cs.DM2019

Longest paths in 2-edge-connected cubic graphs

Nikola K. Blanchard, Eldar Fischer, Oded Lachish +1

We prove almost tight bounds on the length of paths in -edge-connected cubic graphs. Concretely, we show that (i) every -edge-connected cubic graph of size has a path of…

cs.DS2018

Lower and Upper Bound for Computing the Size of All Second Neighbourhoods

Gregory Gutin, George B. Mertzios, Felix Reidl

We consider the problem of computing the size of each -neighbourhood for every vertex of a graph. Specifically, we ask whether the size of the closed second neighbourhood can be…

cs.DS2018

Alternative parameterizations of Metric Dimension

Gregory Gutin, M. S. Ramanujan, Felix Reidl +1

A set of vertices in a graph is called resolving if for any two distinct , there is such that , where ${\rm di…

cs.DS2018★ 1 cited

Parameterized Algorithms for Zero Extension and Metric Labelling Problems

Felix Reidl, Magnus Wahlström

We consider the problems ZERO EXTENSION and METRIC LABELLING under the paradigm of parameterized complexity. These are natural, well-studied problems with important applications, b…

cs.DM2018★ 7 cited

Empirical Evaluation of Approximation Algorithms for Generalized Graph Coloring and Uniform Quasi-Wideness

Wojciech Nadara, Marcin Pilipczuk, Roman Rabinovich +2

The notions of bounded expansion and nowhere denseness not only offer robust and general definitions of uniform sparseness of graphs, they also describe the tractability boundary f…

cs.DS2018★ 3 cited

Searching for Maximum Out-Degree Vertices in Tournaments

Gregory Gutin, George B. Mertzios, Felix Reidl

A vertex in a tournament is called a king if for every vertex of there is a directed path from to of length at most 2. It is not hard to show that every ver…

cs.DS2017

A practical fpt algorithm for Flow Decomposition and transcript assembly

Kyle Kloster, Philipp Kuinke, Michael P. O'Brien +4

The Flow Decomposition problem, which asks for the smallest set of weighted paths that "covers" a flow on a DAG, has recently been used as an important computational step in transc…

cs.DS2017

Designing Deterministic Polynomial-Space Algorithms by Color-Coding Multivariate Polynomials

Gregory Gutin, Felix Reidl, Magnus Wahlström +1

In recent years, several powerful techniques have been developed to design {\em randomized} polynomial-space parameterized algorithms. In this paper, we introduce an enhancement of…

cs.CC2017★ 1 cited

Being even slightly shallow makes life hard

Irene Muzi, Michael P. O'Brien, Felix Reidl +1

We study the computational complexity of identifying dense substructures, namely -shallow topological minors and -subdivisions. Of particular interest is the case when $r=1…