Felix Reidl
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View article: A practical algorithm for 3-admissibility
A practical algorithm for 3-admissibility Open
The $3$-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 whether the $3$-admissibility of an input graph~$G$ is at most~$…
View article: A practical algorithm for 2-admissibility
A practical algorithm for 2-admissibility Open
The $2$-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, like the weak/strong $2$-colouring numbers or the maximum de…
View article: Correlation Clustering with Vertex Splitting
Correlation Clustering with Vertex Splitting Open
View article: A Space-Efficient Algebraic Approach to Robotic Motion Planning
A Space-Efficient Algebraic Approach to Robotic Motion Planning Open
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 problem Graph Inspection. The best known algorithms for this…
View article: Leveraging Fixed-Parameter Tractability for Robot Inspection Planning
Leveraging Fixed-Parameter Tractability for Robot Inspection Planning Open
Autonomous robotic inspection, where a robot moves through its environment and inspects points of interest, has applications in industrial settings, structural health monitoring, and medicine. Planning the paths for a robot to safely and e…
View article: Correlation Clustering with Vertex Splitting
Correlation Clustering with Vertex Splitting Open
We explore Cluster Editing and its generalization Correlation Clustering with a new operation called permissive vertex splitting which addresses finding overlapping clusters in the face of uncertain information. We determine that both prob…
View article: Computing Complexity Measures of Degenerate Graphs
Computing Complexity Measures of Degenerate Graphs Open
We show that the VC-dimension of a graph can be computed in time n^{⌈log d+1⌉} d^{O(d)}, where d is the degeneracy of the input graph. The core idea of our algorithm is a data structure to efficiently query the number of vertices that see …
View article: When you come at the kings you best not miss
When you come at the kings you best not miss Open
A tournament is an orientation of a complete graph. We say that a vertex $x$ in a tournament $\vec T$ controls another vertex $y$ if there exists a directed path of length at most two from $x$ to $y$. A vertex is called a king if it contro…
View article: Longitudinal Comparison of Constant Artifacts in Optical Coherence Tomography Angiography in Patients with Posterior Uveitis Compared to Healthy Subjects
Longitudinal Comparison of Constant Artifacts in Optical Coherence Tomography Angiography in Patients with Posterior Uveitis Compared to Healthy Subjects Open
Background: Knowledge about artifacts in optical coherence tomography angiography (OCTA) is important to avoid misinterpretations. An overview of possible artifacts in posterior uveitis provides important information for interpretations. M…
View article: Meta-analysis of metagenomes via machine learning and assembly graphs reveals strain switches in Crohn’s disease
Meta-analysis of metagenomes via machine learning and assembly graphs reveals strain switches in Crohn’s disease Open
Microbial strains have closely related genomes but may have different phenotypes in the same environment. Shotgun metagenomic sequencing can capture the genomes of all strains present in a community but strain-resolved analysis from shotgu…
View article: Kernelization and hardness of harmless sets in sparse classes
Kernelization and hardness of harmless sets in sparse classes Open
In the classic TARGET SET SELECTION problem, we are asked to minimize the number of nodes to activate so that, after the application of a certain propagation process, all nodes of the graph are active.
Bazgan and Chopin introduced the op…
View article: Harmless Sets in Sparse Classes
Harmless Sets in Sparse Classes Open
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 the graph are active. Bazgan and Chopin [Discrete Optimizat…
View article: Exploring neighborhoods in large metagenome assembly graphs using spacegraphcats reveals hidden sequence diversity
Exploring neighborhoods in large metagenome assembly graphs using spacegraphcats reveals hidden sequence diversity Open
View article: A color-avoiding approach to subgraph counting in bounded expansion classes
A color-avoiding approach to subgraph counting in bounded expansion classes Open
We present an algorithm to count the number of occurrences of a pattern graph $H$ as an induced subgraph in a host graph $G$. If $G$ belongs to a bounded expansion class, the algorithm runs in linear time. Our design choices are motivated …
View article: A General Kernelization Technique for Domination and Independence Problems in Sparse Classes
A General Kernelization Technique for Domination and Independence Problems in Sparse Classes Open
We unify and extend previous kernelization techniques in sparse classes [Jochen Alber et al., 2004; Pilipczuk and Siebertz, 2018] by defining water lilies and show how they can be used in bounded expansion classes to construct linear biker…
View article: Empirical Evaluation of Approximation Algorithms for Generalized Graph Coloring and Uniform Quasi-wideness
Empirical Evaluation of Approximation Algorithms for Generalized Graph Coloring and Uniform Quasi-wideness Open
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 for several important algorithmic questions. In this article…
View article: Structural sparsity of complex networks: Bounded expansion in random models and real-world graphs
Structural sparsity of complex networks: Bounded expansion in random models and real-world graphs Open
View article: Longest paths in 2-edge-connected cubic graphs
Longest paths in 2-edge-connected cubic graphs Open
We prove almost tight bounds on the length of paths in $2$-edge-connected cubic graphs. Concretely, we show that (i) every $2$-edge-connected cubic graph of size $n$ has a path of length $Ω\left(\frac{\log^2{n}}{\log{\log{n}}}\right)$, and…
View article: Alternative parameterizations of Metric Dimension
Alternative parameterizations of Metric Dimension Open
View article: Hardness of FO Model-Checking on Random Graphs
Hardness of FO Model-Checking on Random Graphs Open
It is known that FO model-checking is fixed-parameter tractable on Erdős - Rényi graphs G(n,p(n)) if the edge-probability p(n) is sufficiently small [Grohe, 2001] (p(n)=O(n^epsilon/n) for every epsilon>0). A natural question to ask is whet…
View article: Domination Above r-Independence: Does Sparseness Help?
Domination Above r-Independence: Does Sparseness Help? Open
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 witness. Concretely, we consider being provided with a maxi…
View article: Path-contractions, edge deletions and connectivity preservation
Path-contractions, edge deletions and connectivity preservation Open
View article: Exploring neighborhoods in large metagenome assembly graphs reveals hidden sequence diversity
Exploring neighborhoods in large metagenome assembly graphs reveals hidden sequence diversity Open
Genomes computationally inferred from large metagenomic data sets are often incomplete and may be missing functionally important content and strain variation. We introduce an information retrieval system for large metagenomic data sets tha…
View article: Characterising bounded expansion by neighbourhood complexity
Characterising bounded expansion by neighbourhood complexity Open
View article: Width, Depth, and Space: Tradeoffs between Branching and Dynamic Programming
Width, Depth, and Space: Tradeoffs between Branching and Dynamic Programming Open
Treedepth is a well-established width measure which has recently seen a resurgence of interest. Since graphs of bounded treedepth are more restricted than graphs of bounded tree- or pathwidth, we are interested in the algorithmic utility o…
View article: Lower and Upper Bound for Computing the Size of All Second Neighbourhoods
Lower and Upper Bound for Computing the Size of All Second Neighbourhoods Open
We consider the problem of computing the size of each $r$-neighbourhood for every vertex of a graph. Specifically, we ask whether the size of the closed second neighbourhood can be computed in subquadratic time. Adapting the SETH reduction…
View article: k-distinct in- and out-branchings in digraphs
k-distinct in- and out-branchings in digraphs Open
View article: Empirical Evaluation of Approximation Algorithms for Generalized Graph\n Coloring and Uniform Quasi-Wideness
Empirical Evaluation of Approximation Algorithms for Generalized Graph\n Coloring and Uniform Quasi-Wideness Open
The notions of bounded expansion and nowhere denseness not only offer robust\nand general definitions of uniform sparseness of graphs, they also describe the\ntractability boundary for several important algorithmic questions. In this\npape…
View article: Parameterized Algorithms for Zero Extension and Metric Labelling\n Problems
Parameterized Algorithms for Zero Extension and Metric Labelling\n Problems Open
We consider the problems ZERO EXTENSION and METRIC LABELLING under the\nparadigm of parameterized complexity. These are natural, well-studied problems\nwith important applications, but have previously not received much attention\nfrom para…
View article: Searching for Maximum Out-Degree Vertices in Tournaments
Searching for Maximum Out-Degree Vertices in Tournaments Open
A vertex $x$ in a tournament $T$ is called a king if for every vertex $y$ of $T$ there is a directed path from $x$ to $y$ of length at most 2. It is not hard to show that every vertex of maximum out-degree in a tournament is a king. Howeve…