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Related papers: Vertex Sparsifiers for c-Edge Connectivity

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We present improved approximation algorithms for some problems in the related areas of Capacitated Network Design and Flexible Graph Connectivity. In the Cap-$k$-ECSS problem, we are given a graph $G=(V,E)$ whose edges have non-negative…

Data Structures and Algorithms · Computer Science 2026-04-07 Ishan Bansal , Joseph Cheriyan , Sanjeev Khanna , Miles Simmons

For an optimization problem $\Pi$ on graphs whose solutions are vertex sets, a vertex $v$ is called $c$-essential for $\Pi$ if all solutions of size at most $c \cdot OPT$ contain $v$. Recent work showed that polynomial-time algorithms to…

Data Structures and Algorithms · Computer Science 2024-04-16 Bart M. P. Jansen , Ruben F. A. Verhaegh

Sparsification aims at extracting a reduced core of associations that best preserves both the dynamics and topology of networks while reducing the computational cost of simulations. We show that the semi-metric topology of complex networks…

Physics and Society · Physics 2025-06-05 David Soriano Paños , Felipe Xavier Costa , Luis M. Rocha

We consider a variation of the spectral sparsification problem where we are required to keep a subgraph of the original graph. Formally, given a union of two weighted graphs $G$ and $W$ and an integer $k$, we are asked to find a $k$-edge…

Discrete Mathematics · Computer Science 2009-12-10 Alexandra Kolla , Yury Makarychev , Amin Saberi , Shanghua Teng

Given a large graph $G$ with a set of its $k$ vertices called terminals, a \emph{quality-$q$ flow sparsifier} is a small graph $G'$ that contains the terminals and preserves all multicommodity flows between them up to some multiplicative…

Data Structures and Algorithms · Computer Science 2026-02-16 Yu Chen , Zihan Tan , Mingyang Yang

Network sparsification methods play an important role in modern network analysis when fast estimation of computationally expensive properties (such as the diameter, centrality indices, and paths) is required. We propose a method of network…

Social and Information Networks · Computer Science 2016-01-22 Emmanuel John , Ilya Safro

In recent years, spectral graph sparsification techniques that can compute ultra-sparse graph proxies have been extensively studied for accelerating various numerical and graph-related applications. Prior nearly-linear-time spectral…

Data Structures and Algorithms · Computer Science 2018-04-10 Zhuo Feng

Given a directed graph $G$ with $n$ vertices and $m$ edges, a parameter $k$ and two disjoint subsets $S,T \subseteq V(G)$, we show that the number of all-subsets important separators, which is the number of $A$-$B$ important vertex…

Data Structures and Algorithms · Computer Science 2025-04-29 Aditya Anand , Euiwoong Lee , Jason Li , Thatchaphol Saranurak

Consider the following "local" cut-detection problem in a directed graph: We are given a starting vertex $s$ and need to detect whether there is a cut with at most $k$ edges crossing the cut such that the side of the cut containing $s$ has…

Data Structures and Algorithms · Computer Science 2019-04-23 Sebastian Forster , Liu Yang

Canonical orderings and their relatives such as st-numberings have been used as a key tool in algorithmic graph theory for the last decades. Recently, a unifying concept behind all these orders has been shown: they can be described by a…

Discrete Mathematics · Computer Science 2016-07-18 Lena Schlipf , Jens M. Schmidt

Vertex connectivity is a well-studied concept in graph theory with numerous applications. A graph is $k$-connected if it remains connected after removing any $k-1$ vertices. The vertex connectivity of a graph is the maximum $k$ such that…

Data Structures and Algorithms · Computer Science 2021-03-30 Max Franck , Sorrachai Yingchareonthawornchai

Let $c(H)$ be the smallest value for which $e(G)/|G|\geq c(H)$ implies $H$ is a minor of $G$. We show a new upper bound on $c(H)$, which improves previous bounds for graphs with a vertex partition where some pairs of parts have many more…

Combinatorics · Mathematics 2021-10-18 Matthew Wales

We present a nearly-linear time algorithm that produces high-quality sparsifiers of weighted graphs. Given as input a weighted graph $G=(V,E,w)$ and a parameter $\epsilon>0$, we produce a weighted subgraph $H=(V,\tilde{E},\tilde{w})$ of $G$…

Data Structures and Algorithms · Computer Science 2009-11-18 Daniel A. Spielman , Nikhil Srivastava

This paper presents the first parallel batch-dynamic algorithms for computing spanners and sparsifiers. Our algorithms process any batch of edge insertions and deletions in an $n$-node undirected graph, in $\text{poly}(\log n)$ depth and…

Data Structures and Algorithms · Computer Science 2025-07-10 Mohsen Ghaffari , Jaehyun Koo

Given a weighted graph $G$ and an error parameter $\epsilon > 0$, the {\em graph sparsification} problem requires sampling edges in $G$ and giving the sampled edges appropriate weights to obtain a sparse graph $G_{\epsilon}$ (containing…

Data Structures and Algorithms · Computer Science 2010-04-26 Ramesh Hariharan , Debmalya Panigrahi

In this paper, we study a \emph{multicut-mimicking network} for a hypergraph over terminals $T$ with a parameter $c$. It is a hypergraph preserving the minimum multicut values of any set of pairs over $T$ where the value is at most $c$.…

Data Structures and Algorithms · Computer Science 2024-09-23 Kyungjin Cho , Eunjin Oh

Consider the following "local" cut-detection problem in a directed graph: We are given a seed vertex $x$ and need to remove at most $k$ edges so that at most $\nu$ edges can be reached from $x$ (a "local" cut) or output $\bot$ to indicate…

Data Structures and Algorithms · Computer Science 2019-11-01 Sebastian Forster , Danupon Nanongkai , Thatchaphol Saranurak , Liu Yang , Sorrachai Yingchareonthawornchai

Given a graph $G=(V,E)$ and a set of terminal vertices $T$ we say that a superset $S$ of $T$ is $T$-connecting if $S$ induces a connected graph, and $S$ is minimal if no strict subset of $S$ is $T$-connecting. In this paper we prove that…

Data Structures and Algorithms · Computer Science 2013-01-14 Jan Arne Telle , Yngve Villanger

A graph is c-closed if every pair of vertices with at least c common neighbors is adjacent. The c-closure of a graph G is the smallest number such that G is c-closed. Fox et al. [ICALP '18] defined c-closure and investigated it in the…

Discrete Mathematics · Computer Science 2022-06-22 Tomohiro Koana , Christian Komusiewicz , Frank Sommer

In the $0$-Extension problem, we are given an edge-weighted graph $G=(V,E,c)$, a set $T\subseteq V$ of its vertices called terminals, and a semi-metric $D$ over $T$, and the goal is to find an assignment $f$ of each non-terminal vertex to a…

Data Structures and Algorithms · Computer Science 2024-01-19 Yu Chen , Zihan Tan