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Related papers: Refined Vertex Sparsifiers of Planar Graphs

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We establish that a simple polynomial-time algorithm that we call reweighted spectral partitioning obtains small 2/3-balanced vertex-separators for a number of graph classes, including $O(\sqrt{n})$-sized separators for planar graphs,…

Data Structures and Algorithms · Computer Science 2025-11-18 Jack Spalding-Jamieson

Recent years have seen extensive research on directed graph sparsification. In this work, we initiate the study of fast fully dynamic spectral and cut sparsification algorithms for directed graphs. We introduce a new notion of spectral…

Data Structures and Algorithms · Computer Science 2025-07-29 Yibin Zhao

Given an undirected weighted graph $G(V,E)$, a constrained sketch over a terminal set $T\subset V$ is a subgraph $G'$ that connects the terminal vertices while satisfying a given set of constraints. Examples include Steiner trees…

Discrete Mathematics · Computer Science 2019-10-17 Reyan Ahmed , Keaton Hamm , Mohammad Javad Latifi Jebelli , Stephen Kobourov , Faryad Darabi Sahneh , Richard Spence

We show the existence of an exact mimicking network of $k^{O(\log k)}$ edges for minimum multicuts over a set of terminals in an undirected graph, where $k$ is the total capacity of the terminals, as well as a method for computing a…

Data Structures and Algorithms · Computer Science 2021-03-09 Magnus Wahlström

For unweighted graphs, finding isometric embeddings is closely related to decompositions of $G$ into Cartesian products of smaller graphs. When $G$ is isomorphic to a Cartesian graph product, we call the factors of this product a…

Data Structures and Algorithms · Computer Science 2021-12-15 Kristin Sheridan , Joseph Berleant , Mark Bathe , Anne Condon , Virginia Vassilevska Williams

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

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

The network reconfiguration problem seeks to find a rooted tree $T$ such that the energy of the (unique) feasible electrical flow over $T$ is minimized. The tree requirement on the support of the flow is motivated by operational constraints…

Data Structures and Algorithms · Computer Science 2023-08-24 Swati Gupta , Ali Khodabakhsh , Hassan Mortagy , Evdokia Nikolova

A key concept for many graph layout algorithms is planarity, a graph property that allows to draw vertices and edges crossing-free in the plane. Important is the generalization to $k$-planar graphs, which can be drawn in the plane with at…

Discrete Mathematics · Computer Science 2026-05-18 Aaron Büngener , Jakob Franz , Michael Kaufmann , Maximilian Pfister

Network sparsification is the task of reducing the number of edges of a given graph while preserving some crucial graph property. In community-aware network sparsification, the preserved property concerns the subgraphs that are induced by…

Data Structures and Algorithms · Computer Science 2024-02-26 Emanuel Herrendorf , Christian Komusiewicz , Nils Morawietz , Frank Sommer

Graph sparsification underlies a large number of algorithms, ranging from approximation algorithms for cut problems to solvers for linear systems in the graph Laplacian. In its strongest form, "spectral sparsification" reduces the number of…

Quantum Physics · Physics 2023-05-09 Simon Apers , Ronald de Wolf

A non-trivial minimum cut (NMC) sparsifier is a multigraph $\hat{G}$ that preserves all non-trivial minimum cuts of a given undirected graph $G$. We introduce a flexible data structure for fully dynamic graphs that can efficiently provide…

Data Structures and Algorithms · Computer Science 2025-09-08 Monika Henzinger , Evangelos Kosinas , Robin Münk , Harald Räcke

The minimum cut problem in an undirected and weighted graph $G$ is to find the minimum total weight of a set of edges whose removal disconnects $G$. We completely characterize the quantum query and time complexity of the minimum cut problem…

Quantum Physics · Physics 2021-05-25 Simon Apers , Troy Lee

We give a new $(1+\epsilon)$-approximation for sparsest cut problem on graphs where small sets expand significantly more than the sparsest cut (sets of size $n/r$ expand by a factor $\sqrt{\log n\log r}$ bigger, for some small $r$; this…

Data Structures and Algorithms · Computer Science 2013-04-12 Sanjeev Arora , Rong Ge , Ali Kemal Sinop

We study the problem of compressing a weighted graph $G$ on $n$ vertices, building a "sketch" $H$ of $G$, so that given any vector $x \in \mathbb{R}^n$, the value $x^T L_G x$ can be approximated up to a multiplicative $1+\epsilon$ factor…

Data Structures and Algorithms · Computer Science 2014-12-30 Jiecao Chen , Bo Qin , David P. Woodruff , Qin Zhang

The classical Menger's theorem states that in any undirected (or directed) graph $G$, given a pair of vertices $s$ and $t$, the maximum number of vertex (edge) disjoint paths is equal to the minimum number of vertices (edges) needed to…

Data Structures and Algorithms · Computer Science 2015-09-21 Ashutosh Rai , M. S. Ramanujan , Saket Saurabh

The reassembling of a simple connected graph G = (V,E) is an abstraction of a problem arising in earlier studies of network analysis. Its simplest formulation is in two steps: (1) We cut every edge of G into two halves, thus obtaining a…

Discrete Mathematics · Computer Science 2016-04-27 Assaf Kfoury , Saber Mirzaei

For a given graph $G$ and a subset of vertices $S$, a \emph{distance preserver} is a subgraph of $G$ that preserves shortest paths between the vertices of $S$. We distinguish between a \emph{subsetwise} distance preserver, which preserves…

Data Structures and Algorithms · Computer Science 2026-03-24 Kirill Simonov , Farehe Soheil , Shaily Verma

We study the following two fixed-cardinality optimization problems (a maximization and a minimization variant). For a fixed $\alpha$ between zero and one we are given a graph and two numbers $k \in \mathbb{N}$ and $t \in \mathbb{Q}$. The…

Data Structures and Algorithms · Computer Science 2022-10-20 Tomohiro Koana , Christian Komusiewicz , André Nichterlein , Frank Sommer

In this paper, we revisit spectral sparsification for sums of arbitrary positive semidefinite (PSD) matrices. Concretely, for any collection of PSD matrices $\mathcal{A} = \{A_1, A_2, \ldots, A_r\} \subset \mathbb{R}^{n \times n}$, given…

Data Structures and Algorithms · Computer Science 2026-01-05 Arpon Basu , Pravesh K. Kothari , Yang P. Liu , Raghu Meka