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Related papers: A Unified Framework for Hopsets and Spanners

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For a graph $G$, a $D$-diameter-reducing exact hopset is a small set of additional edges $H$ that, when added to $G$, maintains its graph metric but guarantees that all node pairs have a shortest path in $G \cup H$ using at most $D$ edges.…

Data Structures and Algorithms · Computer Science 2024-04-23 Greg Bodwin , Gary Hoppenworth

For an input graph $G$, an additive spanner is a sparse subgraph $H$ whose shortest paths match those of $G$ up to small additive error. We prove two new lower bounds in the area of additive spanners: 1) We construct $n$-node graphs $G$ for…

Data Structures and Algorithms · Computer Science 2022-10-07 Greg Bodwin , Gary Hoppenworth

For many popular graph metric sparsifiers, such as spanners, emulators, and preservers, simple and elegant greedy algorithms are known that achieve state-of-the-art or existentially optimal tradeoffs between size and quality. The goal of…

Data Structures and Algorithms · Computer Science 2026-04-28 Ben Bals , Joakim Blikstad , Greg Bodwin , Daniel Dadush , Sebastian Forster , Yasamin Nazari

A $t$-spanner of a weighted undirected graph $G=(V,E)$, is a subgraph $H$ such that $d_H(u,v)\le t\cdot d_G(u,v)$ for all $u,v\in V$. The sparseness of the spanner can be measured by its size (the number of edges) and weight (the sum of all…

Data Structures and Algorithms · Computer Science 2014-05-01 Michael Elkin , Ofer Neiman , Shay Solomon

Constructing a spanning tree of a graph is one of the most basic tasks in graph theory. We consider this problem in the setting of local algorithms: one wants to quickly determine whether a given edge $e$ is in a specific spanning tree,…

Data Structures and Algorithms · Computer Science 2021-04-28 Reut Levi , Dana Ron , Ronitt Rubinfeld

We consider problems of the following type: given a graph $G$, how many edges are needed in the worst case for a sparse subgraph $H$ that approximately preserves distances between a given set of node pairs $P$? Examples include pairwise…

Data Structures and Algorithms · Computer Science 2021-05-10 Greg Bodwin

Consider a graph with n nodes and m edges, independent edge weights and lengths, and arbitrary distance demands for node pairs. The spanner problem asks for a minimum-weight subgraph that satisfies these demands via sufficiently short paths…

Data Structures and Algorithms · Computer Science 2025-07-02 Fritz Bökler , Markus Chimani , Henning Jasper

Spectral graph sparsification has emerged as a powerful tool in the analysis of large-scale networks by reducing the overall number of edges, while maintaining a comparable graph Laplacian matrix. In this paper, we present an efficient…

Data Structures and Algorithms · Computer Science 2014-12-16 David G. Anderson , Ming Gu , Christopher Melgaard

Maintaining and updating shortest paths information in a graph is a fundamental problem with many applications. As computations on dense graphs can be prohibitively expensive, and it is preferable to perform the computations on a sparse…

Data Structures and Algorithms · Computer Science 2021-09-21 Thiago Bergamaschi , Monika Henzinger , Maximilian Probst Gutenberg , Virginia Vassilevska Williams , Nicole Wein

Miller et al. \cite{MPVX15} devised a distributed\footnote{They actually showed a PRAM algorithm. The distributed algorithm with these properties is implicit in \cite{MPVX15}.} algorithm in the CONGEST model, that given a parameter $k =…

Data Structures and Algorithms · Computer Science 2017-02-07 Michael Elkin , Ofer Neiman

Given an undirected graph $G=(V,E)$ on $n$ vertices, $m$ edges, and an integer $t\ge 1$, a subgraph $(V,E_S)$, $E_S\subseteq E$ is called a $t$-spanner if for any pair of vertices $u,v \in V$, the distance between them in the subgraph is at…

Data Structures and Algorithms · Computer Science 2007-05-23 Surender Baswana

We study two popular ways to sketch the shortest path distances of an input graph. The first is distance preservers, which are sparse subgraphs that agree with the distances of the original graph on a given set of demand pairs. Prior work…

Data Structures and Algorithms · Computer Science 2021-08-17 Greg Bodwin , Virginia Vassilevska Williams

A $k$-spanner of a graph $G$ is a sparse subgraph $H$ whose shortest path distances match those of $G$ up to a multiplicative error $k$. In this paper we study spanners that are resistant to faults. A subgraph $H \subseteq G$ is an $f$…

Data Structures and Algorithms · Computer Science 2017-10-10 Greg Bodwin , Michael Dinitz , Merav Parter , Virginia Vassilevska Williams

Near-additive (aka $(1+\epsilon,\beta)$-) emulators and spanners are a fundamental graph-algorithmic construct, with numerous applications for computing approximate shortest paths and related problems in distributed, streaming and dynamic…

Data Structures and Algorithms · Computer Science 2021-06-03 Michael Elkin , Shaked Matar

In network design problems, such as compact routing, the goal is to route packets between nodes using the (approximated) shortest paths. A desirable property of these routes is a small number of hops, which makes them more reliable, and…

Data Structures and Algorithms · Computer Science 2024-03-01 Arnold Filtser

We initiate the study on fault-tolerant spanners in hypergraphs and develop fast algorithms for their constructions. A fault-tolerant (FT) spanner preserves approximate distances under network failures, often used in applications like…

Data Structures and Algorithms · Computer Science 2026-03-10 Jialin He , Nicholas Popescu , Chunjiang Zhu

A temporal graph is an undirected graph $G=(V,E)$ along with a function that assigns a time-label to each edge in $E$. A path in $G$ with non-decreasing time-labels is called temporal path and the distance from $u$ to $v$ is the minimum…

Data Structures and Algorithms · Computer Science 2022-06-23 Davide Bilò , Gianlorenzo D'Angelo , Luciano Gualà , Stefano Leucci , Mirko Rossi

A $(\beta,\delta,\Delta)$-padded decomposition of an edge-weighted graph $G = (V,E,w)$ is a stochastic decomposition into clusters of diameter at most $\Delta$ such that for every vertex $v\in V$, the probability that…

Data Structures and Algorithms · Computer Science 2025-10-15 Arnold Filtser , Tobias Friedrich , Davis Issac , Nikhil Kumar , Hung Le , Nadym Mallek , Ziena Zeif

For any undirected and weighted graph $G=(V,E,w)$ with $n$ vertices and $m$ edges, we call a sparse subgraph $H$ of $G$, with proper reweighting of the edges, a $(1+\varepsilon)$-spectral sparsifier if \[…

Data Structures and Algorithms · Computer Science 2017-02-28 Yin Tat Lee , He Sun

Given a point set $P$ in a metric space and a real number $t \geq 1$, an \emph{oriented $t$-spanner} is an oriented graph $\overrightarrow{G}=(P,\overrightarrow{E})$, where for every pair of distinct points $p$ and $q$ in $P$, the shortest…

Computational Geometry · Computer Science 2024-12-12 Kevin Buchin , Antonia Kalb , Anil Maheshwari , Saeed Odak , Michiel Smid , Carolin Rehs , Sampson Wong