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Hub labeling schemes are popular methods for computing distances on road networks and other large complex networks, often answering to a query within a few microseconds for graphs with millions of edges. In this work, we study their…

Data Structures and Algorithms · Computer Science 2020-10-30 Guillaume Ducoffe

This work introduces two new distance metrics for comparing labeled arrays, which are common outputs of image segmentation algorithms. Each pixel in an image is assigned a label, with binary segmentation providing only two labels…

Computer Vision and Pattern Recognition · Computer Science 2025-06-23 Maryam Berijanian , Katrina Gensterblum , Doruk Alp Mutlu , Katelyn Reagan , Andrew Hart , Dirk Colbry

In the graph label selection problem, one is given an $n$-vertex graph and a budget $k$, and seeks to select $k$ vertices whose labels enable accurate prediction of the labels on the remaining vertices. This problem formalizes distilling a…

Data Structures and Algorithms · Computer Science 2026-05-21 Josia John , Simon Meierhans , Maximilian Probst Gutenberg

The graph exploration problem is to visit all the nodes of a connected graph by a mobile entity, e.g., a robot. The robot has no a priori knowledge of the topology of the graph or of its size. Cohen et al. \cite{Ilcinkas08} introduced label…

Data Structures and Algorithms · Computer Science 2012-05-01 Meng Zhang , Yi Zhang , Jijun Tang

A labelling of a graph is an assignment of labels to its vertex or edge sets (or both), subject to certain conditions, a well established concept. A labelling of a graph G of order n is termed a numbering when the set of integers {1,...,n}…

Combinatorics · Mathematics 2023-06-06 Les Foulds , Humberto J. Longo

We consider distance queries in vertex-labeled planar graphs. For any fixed $0 < \epsilon \leq 1/2$ we show how to preprocess a directed planar graph with vertex labels and arc lengths into a data structure that answers queries of the…

Data Structures and Algorithms · Computer Science 2017-12-19 Shay Mozes , Eyal E. Skop

The number of nodes of a network, called its size, and the largest distance between nodes of a network, called its diameter, are among the most important network parameters. Knowing the size and/or diameter is a prerequisite of many…

Distributed, Parallel, and Cluster Computing · Computer Science 2020-11-12 Barun Gorain , Andrzej Pelc

A radio $k$-labeling of a connected graph $G$ is an assignment $c$ of non negative integers to the vertices of $G$ such that $$|c(x) - c(y)| \geq k+1 - d(x,y),$$ for any two vertices $x$ and $y$, $x\ne y$, where $d(x,y)$ is the distance…

Combinatorics · Mathematics 2013-03-19 R. Čada , J. Ekstein , P. Holub , O. Togni

Signed graphs have their edges labeled either as positive or negative. Here we introduce two types of signed distance matrix for signed graphs. We characterize balance in signed graphs using these matrices and we obtain explicit formulae…

Combinatorics · Mathematics 2021-06-21 Shahul Hameed K , Shijin T , Soorya P , Germina K A , Thomas Zaslavsky

For a given a graph, a distance oracle is a data structure that answers distance queries between pairs of vertices. We introduce an $O(n^{5/3})$-space distance oracle which answers exact distance queries in $O(\log n)$ time for $n$-vertex…

Data Structures and Algorithms · Computer Science 2017-05-03 Vincent Cohen-Addad , Søren Dahlgaard , Christian Wulff-Nilsen

We describe a way of assigning labels to the vertices of any undirected graph on up to $n$ vertices, each composed of $n/2+O(1)$ bits, such that given the labels of two vertices, and no other information regarding the graph, it is possible…

Data Structures and Algorithms · Computer Science 2014-04-15 Stephen Alstrup , Haim Kaplan , Mikkel Thorup , Uri Zwick

An {\em ancestry labeling scheme} labels the nodes of any tree in such a way that ancestry queries between any two nodes in a tree can be answered just by looking at their corresponding labels. The common measure to evaluate the quality of…

Data Structures and Algorithms · Computer Science 2009-02-19 Pierre Fraigniaud , Amos Korman

An adjacency sketching or implicit labeling scheme for a family $\cal F$ of graphs is a method that defines for any $n$ vertex $G \in \cal F$ an assignment of labels to each vertex in $G$, so that the labels of two vertices tell you whether…

Data Structures and Algorithms · Computer Science 2023-09-08 Moni Naor , Eugene Pekel

The $\mathsf{HYBRID}$ model was introduced as a means for theoretical study of distributed networks that use various communication modes. Conceptually, it is a synchronous message passing model with a local communication mode, where in each…

Distributed, Parallel, and Cluster Computing · Computer Science 2022-02-15 Fabian Kuhn , Philipp Schneider

A graph is closed when its vertices have a labeling by [n] with a certain property first discovered in the study of binomial edge ideals. In this article, we prove that a connected graph has a closed labeling if and only if it is chordal,…

Combinatorics · Mathematics 2015-01-05 David A. Cox , Andrew Erskine

Semialgebraic graphs are graphs whose vertices are points in $\mathbb{R}^d$, and adjacency between two vertices is determined by the truth value of a semialgebraic predicate of constant complexity. We show how to harness polynomial…

Computational Geometry · Computer Science 2026-04-20 Jean Cardinal , Micha Sharir

A labeling scheme for nearest common ancestors assigns a distinct binary string, called the label, to every node of a tree, so that given the labels of two nodes (and no further information about the topology of the tree) we can compute the…

Data Structures and Algorithms · Computer Science 2017-07-20 Paweł Gawrychowski , Jakub Łopuszański

A subgraph $H$ of a graph $G$ is isometric if the distances between vertices in $H$ coincide with the distances between the corresponding vertices in $G$. We show that for any integer $n\ge 1$, there is a graph on $3^{n+O(\log^2 n)}$…

Combinatorics · Mathematics 2021-06-24 Louis Esperet , Cyril Gavoille , Carla Groenland

We study the problem of computing the diameter and the mean distance of a continuous graph, i.e., a connected graph where all points along the edges, instead of only the vertices, must be taken into account. It is known that for continuous…

Computational Geometry · Computer Science 2025-03-12 Sergio Cabello , Delia Garijo , Antonia Kalb , Fabian Klute , Irene Parada , Rodrigo I. Silveira

Label spreading is a general technique for semi-supervised learning with point cloud or network data, which can be interpreted as a diffusion of labels on a graph. While there are many variants of label spreading, nearly all of them are…

Machine Learning · Computer Science 2020-06-09 Francesco Tudisco , Austin R. Benson , Konstantin Prokopchik