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Previous hypergraph expansions are solely carried out on either vertex level or hyperedge level, thereby missing the symmetric nature of data co-occurrence, and resulting in information loss. To address the problem, this paper treats…

Machine Learning · Computer Science 2023-04-14 Chaoqi Yang , Ruijie Wang , Shuochao Yao , Tarek Abdelzaher

Given a weighted undirected graph $G=(V,E,w)$, a hopset $H$ of hopbound $\beta$ and stretch $(1+\epsilon)$ is a set of edges such that for any pair of nodes $u, v \in V$, there is a path in $G \cup H$ of at most $\beta$ hops, whose length…

Data Structures and Algorithms · Computer Science 2022-08-05 Jakub Łącki , Yasamin Nazari

Graph neural networks (GNNs) are gaining increasing popularity as a promising approach to machine learning on graphs. Unlike traditional graph workloads where each vertex/edge is associated with a scalar, GNNs attach a feature tensor to…

Machine Learning · Computer Science 2020-09-30 Yuwei Hu , Zihao Ye , Minjie Wang , Jiali Yu , Da Zheng , Mu Li , Zheng Zhang , Zhiru Zhang , Yida Wang

A geometric $t$-spanner for a set $S$ of $n$ point sites is an edge-weighted graph for which the (weighted) distance between any two sites $p,q \in S$ is at most $t$ times the original distance between $p$ and~$q$. We study geometric…

Computational Geometry · Computer Science 2024-04-12 Sarita de Berg , Marc van Kreveld , Frank Staals

We consider the problem of dynamically maintaining (approximate) all-pairs effective resistances in separable graphs, which are those that admit an $n^{c}$-separator theorem for some $c<1$. We give a fully dynamic algorithm that maintains…

Data Structures and Algorithms · Computer Science 2018-08-09 Gramoz Goranci , Monika Henzinger , Pan Peng

We study spanners in planar domains, including polygonal domains, polyhedral terrain, and planar metrics. Previous work showed that for any constant $\epsilon\in (0,1)$, one could construct a $(2+\epsilon)$-spanner with $O(n\log(n))$ edges…

Computational Geometry · Computer Science 2024-04-09 Sujoy Bhore , Balázs Keszegh , Andrey Kupavskii , Hung Le , Alexandre Louvet , Dömötör Pálvölgyi , Csaba D. Tóth

We abstract and study \emph{reachability preservers}, a graph-theoretic primitive that has been implicit in prior work on network design. Given a directed graph $G = (V, E)$ and a set of \emph{demand pairs} $P \subseteq V \times V$, a…

Data Structures and Algorithms · Computer Science 2023-11-23 Amir Abboud , Greg Bodwin

For a positive parameter $\beta$, the $\beta$-bounded distance between a pair of vertices $u,v$ in a weighted undirected graph $G = (V,E,\omega)$ is the length of the shortest $u-v$ path in $G$ with at most $\beta$ edges, aka {\em hops}.…

Data Structures and Algorithms · Computer Science 2017-04-28 Michael Elkin , Ofer Neiman

We focus on the problem of adding fault-tolerance to an existing concurrent protocol in the presence of {\em unchangeable environment actions}. Such unchangeable actions occur in practice due to several reasons. One instance includes the…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-08-05 Mohammad Roohitavaf , Sandeep Kulkarni

In this thesis, we study two different graph problems. The first problem revolves around geometric spanners. Here, we have a set of points in the plane and we want to connect them with straight line segments, such that there is a path…

Computational Geometry · Computer Science 2015-09-10 Sander Verdonschot

In this work, we consider adversarial crash faults of nodes in the network constructors model $[$Michail and Spirakis, 2016$]$. We first show that, without further assumptions, the class of graph languages that can be (stably) constructed…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-05-21 Othon Michail , Paul G. Spirakis , Michail Theofilatos

Graph Sparsification aims at compressing large graphs into smaller ones while preserving important characteristics of the input graph. In this work we study Vertex Sparsifiers, i.e., sparsifiers whose goal is to reduce the number of…

Data Structures and Algorithms · Computer Science 2017-12-29 Gramoz Goranci , Monika Henzinger , Pan Peng

The recent surge in contrast-based graph self-supervised learning has prominently featured an intensified exploration of spectral cues. Spectral augmentation, which involves modifying a graph's spectral properties such as eigenvalues or…

Machine Learning · Computer Science 2024-12-05 Xiangru Jian , Xinjian Zhao , Wei Pang , Chaolong Ying , Yimu Wang , Yaoyao Xu , Tianshu Yu

A $t$-spanner of a graph $G=(V,E)$ is a subgraph $H=(V,E')$ that contains a $uv$-path of length at most $t$ for every $uv\in E$. It is known that every $n$-vertex graph admits a $(2k-1)$-spanner with $O(n^{1+1/k})$ edges for $k\geq 1$. This…

Computational Geometry · Computer Science 2024-11-04 Jonathan B. Conroy , Csaba D. Tóth

Roundtrip spanners are the analog of spanners in directed graphs, where the roundtrip metric is used as a notion of distance. Recent works have shown existential results of roundtrip spanners nearly matching the undirected case, but the…

Data Structures and Algorithms · Computer Science 2023-11-01 Alina Harbuzova , Ce Jin , Virginia Vassilevska Williams , Zixuan Xu

The greedy spanner is arguably the simplest and most well-studied spanner construction. Experimental results demonstrate that it is at least as good as any other spanner construction, in terms of both the size and weight parameters.…

Data Structures and Algorithms · Computer Science 2020-01-22 Arnold Filtser , Shay Solomon

Effective resistances are ubiquitous in graph algorithms and network analysis. In this work, we study sublinear time algorithms to approximate the effective resistance of an adjacent pair $s$ and $t$. We consider the classical adjacency…

Data Structures and Algorithms · Computer Science 2023-07-06 Dongrun Cai , Xue Chen , Pan Peng

A $t$-emulator of a graph $G$ is a graph $H$ that approximates its pairwise shortest path distances up to multiplicative $t$ error. We study fault tolerant $t$-emulators, under the model recently introduced by Bodwin, Dinitz, and Nazari…

Data Structures and Algorithms · Computer Science 2022-11-16 Greg Bodwin , Michael Dinitz , Yasamin Nazari

In their seminal paper, Alth\"{o}fer et al. (DCG 1993) introduced the {\em greedy spanner} and showed that, for any weighted planar graph $G$, the weight of the greedy $(1+\epsilon)$-spanner is at most $(1+\frac{2}{\epsilon}) \cdot…

Data Structures and Algorithms · Computer Science 2025-10-23 Hung Le , Shay Solomon , Cuong Than , Csaba D. Tóth , Tianyi Zhang

We study vertex sparsification for preserving cuts. Given a graph $G$ with a subset $|T|=k$ of its vertices called terminals, a \emph{quality-$q$ cut sparsifier} is a graph $G'$ that contains $T$, such that, for any partition $(T_1,T_2)$ of…

Data Structures and Algorithms · Computer Science 2024-10-18 Yu Chen , Zihan Tan