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20182026
most citedBeyond 2-approximation for k-Center in Graphs

3 citations · 5 across the 10 of their papers we have counts for

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cs.DS2026

Exponential Lower Bounds for Integer-Weighted Shortest-Paths Preservers of DAGs

Michael Yi Wang, Nicole Wein

We study a graph simplification problem introduced by Bernstein, Bodwin, and Wein [ITCS'24]. We start with a graph with arbitrarily large positive edge weights and the goal is to r…

cs.DS2026

DAG Covers for Structured Graphs: The Steiner Point Effect

Sujoy Bhore, Hsien-Chih Chang, Jonathan Conroy +4

Given a weighted digraph , a -DAG cover is a collection of dominating DAGs such that all distances are approximately preserved: for every pair $(u,v…

cs.DS2025★ 3 cited

Beyond 2-approximation for k-Center in Graphs

Ce Jin, Yael Kirkpatrick, Virginia Vassilevska Williams +1

We consider the classical -Center problem in undirected graphs. The problem is known to have a polynomial-time 2-approximation. There are even -approximations r…

cs.DS2024

Detecting Disjoint Shortest Paths in Linear Time and More

Shyan Akmal, Virginia Vassilevska Williams, Nicole Wein

In the -Disjoint Shortest Paths (-DSP) problem, we are given a weighted graph on nodes and edges with specified source vertices , and target vert…

cs.DS2024

Additive Spanner Lower Bounds with Optimal Inner Graph Structure

Greg Bodwin, Gary Hoppenworth, Virginia Vassilevska Williams +2

We construct -node graphs on which any -size spanner has additive error at least , improving on the previous best lower bound of [Bodwin-Hoppenw…

cs.DS2023

Are there graphs whose shortest path structure requires large edge weights?

Aaron Bernstein, Greg Bodwin, Nicole Wein

The aspect ratio of a (positively) weighted graph is the ratio of its maximum edge weight to its minimum edge weight. Aspect ratio commonly arises as a complexity measure in gr…

cs.DS2022

A Local-to-Global Theorem for Congested Shortest Paths

Shyan Akmal, Nicole Wein

Amiri and Wargalla (2020) proved the following local-to-global theorem in directed acyclic graphs (DAGs): if is a weighted DAG such that for each subset of 3 nodes there is…

cs.DS2022

Closing the Gap Between Directed Hopsets and Shortcut Sets

Aaron Bernstein, Nicole Wein

For an n-vertex directed graph , a -\emph{shortcut set} is a set of additional edges such that has the same transitive closure…

cs.DS2022★ 1 cited

Approximation Algorithms and Hardness for -Pairs Shortest Paths and All-Nodes Shortest Cycles

Mina Dalirrooyfard, Ce Jin, Virginia Vassilevska Williams +1

We study the approximability of two related problems on graphs with nodes and edges: -Pairs Shortest Paths (-PSP), where the goal is to find a shortest path between $…

cs.DS2022

Online List Labeling: Breaking the Barrier

Michael A. Bender, Alex Conway, Martín Farach-Colton +3

The online list labeling problem is an algorithmic primitive with a large literature of upper bounds, lower bounds, and applications. The goal is to store a dynamically-changing se…

cs.DS2021★ 1 cited

Better Lower Bounds for Shortcut Sets and Additive Spanners via an Improved Alternation Product

Kevin Lu, Virginia Vassilevska Williams, Nicole Wein +1

We obtain improved lower bounds for additive spanners, additive emulators, and diameter-reducing shortcut sets. Spanners and emulators are sparse graphs that approximately preserve…

cs.DS2021

Hardness of Token Swapping on Trees

Oswin Aichholzer, Erik D. Demaine, Matias Korman +6

Given a graph where every vertex has exactly one labeled token, how can we most quickly execute a given permutation on the tokens? In (sequential) token swapping, the goal is to us…

cs.DS2021

Algorithms for the Minimum Dominating Set Problem in Bounded Arboricity Graphs: Simpler, Faster, and Combinatorial

Adir Morgan, Shay Solomon, Nicole Wein

We revisit the minimum dominating set problem on graphs with arboricity bounded by . Bansal and Umboh [BU17] gave an -approximation LP rounding algorithm, which also trans…

cs.DS2020

Tight Conditional Lower Bounds for Approximating Diameter in Directed Graphs

Mina Dalirrooyfard, Nicole Wein

Among the most fundamental graph parameters is the Diameter, the largest distance between any pair of vertices. Computing the Diameter of a graph with edges requires $m^{2-o(1)…

cs.DS2020

New Techniques and Fine-Grained Hardness for Dynamic Near-Additive Spanners

Thiago Bergamaschi, Monika Henzinger, Maximilian Probst Gutenberg +2

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…

cs.DS2020

Memoryless Worker-Task Assignment with Polylogarithmic Switching Cost

Aaron Berger, William Kuszmaul, Adam Polak +2

We study the basic problem of assigning memoryless workers to tasks with dynamically changing demands. Given a set of workers and a multiset of tasks,…

cs.DS2020

Lower Bounds for Dynamic Distributed Task Allocation

Hsin-Hao Su, Nicole Wein

We study the problem of distributed task allocation in multi-agent systems. Suppose there is a collection of agents, a collection of tasks, and a demand vector, which specifies the…

cs.DS2020

New Algorithms and Hardness for Incremental Single-Source Shortest Paths in Directed Graphs

Maximilian Probst Gutenberg, Virginia Vassilevska Williams, Nicole Wein

In the dynamic Single-Source Shortest Paths (SSSP) problem, we are given a graph subject to edge insertions and deletions and a source vertex , and the goal is to…

cs.DS2019

Tight Approximation Algorithms for Bichromatic Graph Diameter and Related Problems

Mina Dalirrooyfard, Virginia Vassilevska Williams, Nikhil Vyas +1

Some of the most fundamental and well-studied graph parameters are the Diameter (the largest shortest paths distance) and Radius (the smallest distance for which a "center" node ca…

cs.DS2019

Improved Dynamic Graph Coloring

Shay Solomon, Nicole Wein

This paper studies the fundamental problem of graph coloring in fully dynamic graphs. Since the problem of computing an optimal coloring, or even approximating it to within $n^{1-ε…

cs.DS2019

Approximation Algorithms for Min-Distance Problems

Mina Dalirrooyfard, Virginia Vassilevska Williams, Nikhil Vyas +3

We study fundamental graph parameters such as the Diameter and Radius in directed graphs, when distances are measured using a somewhat unorthodox but natural measure: the distance…

cs.DS2018

Algorithms and Hardness for Diameter in Dynamic Graphs

Bertie Ancona, Monika Henzinger, Liam Roditty +2

The diameter, radius and eccentricities are natural graph parameters. While these problems have been studied extensively, there are no known dynamic algorithms for them beyond the…

cs.DS2018

Fully Dynamic MIS in Uniformly Sparse Graphs

Krzysztof Onak, Baruch Schieber, Shay Solomon +1

We consider the problem of maintaining a maximal independent set (MIS) in a dynamic graph subject to edge insertions and deletions. Recently, Assadi, Onak, Schieber and Solomon (ST…

cs.DS2018

Towards Tight Approximation Bounds for Graph Diameter and Eccentricities

Arturs Backurs, Liam Roditty, Gilad Segal +2

Among the most important graph parameters is the Diameter, the largest distance between any two vertices. There are no known very efficient algorithms for computing the Diameter ex…