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Graph matching is the process of computing the similarity between two graphs. Depending on the requirement, it can be exact or inexact. Exact graph matching requires a strict correspondence between nodes of two graphs, whereas inexact…

Social and Information Networks · Computer Science 2022-01-13 Shri Prakash Dwivedi

For a finite graph $G$, we study the maximum $2$-edge colorable subgraph problem and a related ratio $\frac{\mu(G)}{\nu(G)}$, where $\nu(G)$ is the matching number of $G$, and $\mu(G)$ is the size of the largest matching in any pair…

Combinatorics · Mathematics 2023-06-07 Huizheng , Guo , Kieran Kaempen , Zhengda Mo , Sam Qunell , Joe Rogge , Chao Song , Anush Tserunyan , Jenna Zomback

Proportional choosability is a list coloring analogue of equitable coloring. Specifically, a $k$-assignment $L$ for a graph $G$ specifies a list $L(v)$ of $k$ available colors to each $v \in V(G)$. An $L$-coloring assigns a color to each…

Combinatorics · Mathematics 2020-06-04 Jeffrey A. Mudrock , Robert Piechota , Paul Shin , Tim Wagstrom

A conflict-free $k$-coloring of a graph $G=(V,E)$ assigns one of $k$ different colors to some of the vertices such that, for every vertex $v$, there is a color that is assigned to exactly one vertex among $v$ and $v$'s neighbors. Such…

Computational Geometry · Computer Science 2017-09-13 Sándor P. Fekete , Phillip Keldenich

We conjecture that the worst case number of experiments necessary and sufficient to discover a causal graph uniquely given its observational Markov equivalence class can be specified as a function of the largest clique in the Markov…

Artificial Intelligence · Computer Science 2012-06-18 Frederick Eberhardt

Deep neural networks have been applied to a wide range of problems across different application domains with great success. Recently, research into combinatorial optimization problems in particular has generated much interest in the machine…

Machine Learning · Computer Science 2021-08-05 Jason Van Hulse , Joshua S. Friedman

List colouring is an NP-complete decision problem even if the total number of colours is three. It is hard even on planar bipartite graphs. We give a polynomial-time algorithm for solving list colouring of permutation graphs with a bounded…

Discrete Mathematics · Computer Science 2012-06-25 Jessica Enright , Lorna Stewart , Gabor Tardos

In this paper we study threshold coloring of graphs, where the vertex colors represented by integers are used to describe any spanning subgraph of the given graph as follows. Pairs of vertices with near colors imply the edge between them is…

Discrete Mathematics · Computer Science 2013-05-20 Md. Jawaherul Alam , Steven Chaplick , Gašper Fijavž , Michael Kaufmann , Stephen G. Kobourov , Sergey Pupyrev

Given a graph $G$, a mutual-visibility coloring of $G$ is introduced as follows. We color two vertices $x,y\in V(G)$ with a same color, if there is a shortest $x,y$-path whose internal vertices have different colors than $x,y$. The smallest…

Combinatorics · Mathematics 2024-08-07 Sandi Klavžar , Dorota Kuziak , Juan Carlos Valenzuela Tripodoro , Ismael G. Yero

Humans inevitably develop a sense of the relationships between objects, some of which are based on their appearance. Some pairs of objects might be seen as being alternatives to each other (such as two pairs of jeans), while others may be…

Computer Vision and Pattern Recognition · Computer Science 2015-06-17 Julian McAuley , Christopher Targett , Qinfeng Shi , Anton van den Hengel

Can we efficiently compute optimal solutions to instances of a hard problem from optimal solutions to neighboring (i.e., locally modified) instances? For example, can we efficiently compute an optimal coloring for a graph from optimal…

Computational Complexity · Computer Science 2019-06-26 Elisabet Burjons , Fabian Frei , Edith Hemaspaandra , Dennis Komm , David Wehner

Irregular computations on unstructured data are an important class of problems for parallel programming. Graph coloring is often an important preprocessing step, e.g. as a way to perform dependency analysis for safe parallel execution. The…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-05-19 Georgios Rokos , Gerard Gorman , Paul H J Kelly

We study the online graph coloring problem restricted to the intersection graphs of intervals with lengths in $[1,\sigma]$. For $\sigma=1$ it is the class of unit interval graphs, and for $\sigma=\infty$ the class of all interval graphs.…

Consider a graph G with n nodes and m edges, which represents a social network, and assume that initially each node is blue or white. In each round, all nodes simultaneously update their color to the most frequent color in their…

Data Structures and Algorithms · Computer Science 2023-02-15 Ahad N. Zehmakan

In this paper, we study two problems related to planar matchings in random bipartite graphs. First, we colour each edge of the complete bipartite graph $K_{n,n}$ uniformly randomly from amongst ${r}$ colours and show that if ${r}$ grows…

Probability · Mathematics 2023-01-13 Ghurumuruhan Ganesan

We study the average number $\mathcal{A}(G)$ of colors in the non-equivalent colorings of a graph $G$. We show some general properties of this graph invariant and determine its value for some classes of graphs. We then conjecture several…

Combinatorics · Mathematics 2024-03-11 Alain Hertz , Hadrien Mélot , Sébastien Bonte , Gauvain Devillez

Node coloring is the task of assigning colors to the nodes of a graph such that no two adjacent nodes have the same color, while using as few colors as possible. It is the most widely studied instance of graph coloring and of central…

Combinatorics · Mathematics 2026-01-09 Knut Vanderbush , Melanie Weber

In a family ${G_1, G_2, \ldots, G_m}$ of graphs sharing the same vertex set $V$, a cooperative coloring involves selecting one independent set $I_i$ from $G_i$ for each $i\in \{1,2,\ldots,m\}$ such that $\bigcup_{i=1}^m I_i = V$. For a…

Combinatorics · Mathematics 2024-02-19 Xuqing Bai , Bi Li , Chuandong Xu , Xin Zhang

Mechanisms of human color vision are characterized by two phenomenological aspects: the system is nonlinear and adaptive to changing environments. Conventional attempts to derive these features from statistics use separate arguments for…

Machine Learning · Statistics 2016-02-02 Valero Laparra , Sandra Jiménez , Gustavo Camps-Valls , Jesús Malo

Graph Coloring Problem (GCP) is an NP-Hard vertex labeling problem in graphs such that no two adjacent vertices can have the same color. Large instances of GCP cannot be solved in reasonable execution times by exact algorithms. Therefore,…

Neural and Evolutionary Computing · Computer Science 2025-04-22 Tansel Dokeroglu , Tayfun Kucukyilmaz , Ahmet Cosar