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The \emph{$r$-neighbourhood complexity} of a graph $G$ is the function counting, for a given integer $k$, the largest possible number, over all vertex-subsets $A$ of size $k$, of subsets of $A$ realized as the intersection between the…

Discrete Mathematics · Computer Science 2025-12-16 Laurent Beaudou , Jan Bok , Florent Foucaud , Daniel A. Quiroz , Jean-Florent Raymond

Given a graph G, a matching is a subset of edges of G that do not share an endpoint. A matching M is uniquely restricted if the subgraph induced by the endpoints of the edges of M has exactly one perfect matching. Given a graph G and a…

Data Structures and Algorithms · Computer Science 2025-08-19 Juhi Chaudhary , Ignasi Sau , Meirav Zehavi

We study the minimum \emph{Monitoring Edge Geodetic Set} (\megset) problem introduced in [Foucaud et al., CALDAM'23]: given a graph $G$, we say that an edge is monitored by a pair $u,v$ of vertices if \emph{all} shortest paths between $u$…

Data Structures and Algorithms · Computer Science 2025-10-09 Davide Bilò , Giordano Colli , Luca Forlizzi , Stefano Leucci

Motivated by the landmark resolution of the 1-2-3 Conjecture, we initiate the study of the parameterized complexity of the Vertex-Coloring {0,1}-Edge-Weighting problem and its generalization, Vertex-Coloring Pre-edge-Weighting, under…

Data Structures and Algorithms · Computer Science 2026-04-15 Shubhada Aute , Fahad Panolan , Geevarghese Philip

The article studies edge coverage for control flow graphs extended with explicit constraints. Achieving a given level of white-box coverage for a given code is a classic problem in software testing. We focus on designing test sets that…

Computational Complexity · Computer Science 2026-02-24 Jakub Ruszil , Artur Polański , Adam Roman , Jakub Zelek

We study the NP-complete Minimum Shared Edges (MSE) problem. Given an undirected graph, a source and a sink vertex, and two integers p and k, the question is whether there are p paths in the graph connecting the source with the sink and…

Computational Complexity · Computer Science 2016-02-05 Till Fluschnik , Stefan Kratsch , Rolf Niedermeier , Manuel Sorge

Boxicity of a graph $G(V,$ $E)$, denoted by $box(G)$, is the minimum integer $k$ such that $G$ can be represented as the intersection graph of axis parallel boxes in $\mathbb{R}^k$. The problem of computing boxicity is inapproximable even…

Data Structures and Algorithms · Computer Science 2014-03-06 Abhijin Adiga , Jasine Babu , L. Sunil Chandran

Given graphs $H$ and $G$, possibly with vertex-colors, a homomorphism is a function $f:V(H)\to V(G)$ that preserves colors and edges. Many interesting counting problems (e.g., subgraph and induced subgraph counts) are finite linear…

Computational Complexity · Computer Science 2023-05-09 Radu Curticapean

For random graphs, the containment problem considers the probability that a binomial random graph $G(n,p)$ contains a given graph as a substructure. When asking for the graph as a topological minor, i.e., for a copy of a subdivision of the…

Combinatorics · Mathematics 2015-05-05 Anna Gundert , Uli Wagner

Cheeger's fundamental inequality states that any edge-weighted graph has a vertex subset $S$ such that its expansion (a.k.a. conductance) is bounded as follows: \[ \phi(S) \defeq \frac{w(S,\bar{S})}{\min \set{w(S), w(\bar{S})}} \leq…

Data Structures and Algorithms · Computer Science 2015-03-19 Anand Louis , Prasad Raghavendra , Prasad Tetali , Santosh Vempala

We study the parameterized complexity of Split Contraction and Threshold Contraction. In these problems we are given a graph G and an integer k and asked whether G can be modified into a split graph or a threshold graph, respectively, by…

Data Structures and Algorithms · Computer Science 2013-10-23 Leizhen Cai , Chengwei Guo

We give a short, self-contained, and easily verifiable proof that determining the outerthickness of a general graph is NP-hard. This resolves a long-standing open problem on the computational complexity of outerthickness. Moreover, our…

Computational Complexity · Computer Science 2026-02-10 Pin-Hsian Lee , Te-Cheng Liu , Meng-Tsung Tsai

Graph Burning asks, given a graph $G = (V,E)$ and an integer $k$, whether there exists $(b_{0},\dots,b_{k-1}) \in V^{k}$ such that every vertex in $G$ has distance at most $i$ from some $b_{i}$. This problem is known to be NP-complete even…

Data Structures and Algorithms · Computer Science 2020-09-29 Yasuaki Kobayashi , Yota Otachi

We consider the verification of parameterized networks of replicated processes whose architecture is described by hyperedge-replacement graph grammars. Due to the undecidability of verification problems such as reachability or coverability…

Formal Languages and Automata Theory · Computer Science 2025-02-24 Marius Bozga , Radu Iosif , Arnaud Sangnier , Neven Villani

We prove that there is a randomized polynomial-time algorithm that given an edge-weighted graph $G$ excluding a fixed-minor $Q$ on $n$ vertices and an accuracy parameter $\varepsilon>0$, constructs an edge-weighted graph~$H$ and an…

Data Structures and Algorithms · Computer Science 2023-04-17 Vincent Cohen-Addad , Hung Le , Marcin Pilipczuk , Michał Pilipczuk

A complex unit gain graph ($\mathbb{T}$-gain graph), $\Phi = (G, \varphi)$ is a graph where the function $\varphi$ assigns a unit complex number to each orientation of an edge of $G$, and its inverse is assigned to the opposite orientation.…

Combinatorics · Mathematics 2021-05-11 M. Rajesh Kannan , Navish Kumar , Shivaramakrishna Pragada

In this paper, we design efficient algorithms to approximately count the number of edges of a given $k$-hypergraph, and to sample an approximately uniform random edge. The hypergraph is not given explicitly, and can be accessed only through…

Data Structures and Algorithms · Computer Science 2022-03-09 Holger Dell , John Lapinskas , Kitty Meeks

Graph editing problems offer an interesting perspective on sub- and supergraph identification problems for a large variety of target properties. They have also attracted significant attention in recent years, particularly in the area of…

Computational Complexity · Computer Science 2017-03-06 Luke Mathieson

The Grundy number of a graph is the maximum number of colors used by the greedy coloring algorithm over all vertex orderings. In this paper, we study the computational complexity of GRUNDY COLORING, the problem of determining whether a…

Data Structures and Algorithms · Computer Science 2015-11-03 Edouard Bonnet , Florent Foucaud , Eun Jung Kim , Florian Sikora

For an edge-weighted connected undirected graph, the minimum $k$-way cut problem is to find a subset of edges of minimum total weight whose removal separates the graph into $k$ connected components. The problem is NP-hard when $k$ is part…

Data Structures and Algorithms · Computer Science 2008-11-25 Mingyu Xiao , Leizhen Cai , Andrew C. Yao
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