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We present a method for learning max-weight matching predictors in bipartite graphs. The method consists of performing maximum a posteriori estimation in exponential families with sufficient statistics that encode permutations and data…

机器学习 · 计算机科学 2009-06-05 James Petterson , Tiberio Caetano , Julian McAuley , Jin Yu

In this paper, we reduce the maximum weighted matching problem to the largest cardinality matching in {\bf CONGEST}. The paper presents two technical contributions. The first of them is a simple $poly(\log n, \frac{1}{\varepsilon}, t, \ln…

数据结构与算法 · 计算机科学 2023-01-04 Vahan Mkrtchyan

The Partitioning Min-Max Weighted Matching (PMMWM) problem is an NP-hard problem that combines the problem of partitioning a group of vertices of a bipartite graph into disjoint subsets with limited size and the classical Min-Max Weighted…

数据结构与算法 · 计算机科学 2022-01-26 Yuxuan Wang , Jinyao Xie , Jiongzhi Zheng , Kun He

In the total matching problem, one is given a graph $G$ with weights on the vertices and edges. The goal is to find a maximum weight set of vertices and edges that is the non-incident union of a stable set and a matching. We consider the…

组合数学 · 数学 2024-01-01 Luca Ferrarini , Samuel Fiorini , Stefan Kober , Yelena Yuditsky

Many multiagent tasks -- such as reviewer assignment, coalition formation, or fair resource allocation -- require selecting a group of agents such that collaboration remains effective even in the worst case. The \emph{weighted max-min…

数据结构与算法 · 计算机科学 2026-02-10 Sharareh Alipour

The approach mapping from a matching of bipartite graphs to digraphs has been successfully used for forcing set problem, in this paper, it is extended to uniquely restricted matching problem. We show to determine a uniquely restricted…

计算复杂性 · 计算机科学 2010-09-29 Guohun Zhu

A perfect matching in an undirected graph $G=(V,E)$ is a set of vertex disjoint edges from $E$ that include all vertices in $V$. The perfect matching problem is to decide if $G$ has such a matching. Recently Rothvo{\ss} proved the striking…

离散数学 · 计算机科学 2018-04-26 David Avis , David Bremner , Hans Raj Tiwary , Osamu Watanabe

Let $G$ be a bipartite graph where every node has a strict ranking of its neighbors. For every node, its preferences over neighbors extend naturally to preferences over matchings. Matching $N$ is more popular than matching $M$ if the number…

数据结构与算法 · 计算机科学 2020-11-09 Telikepalli Kavitha

We consider problems of finding a maximum size/weight $t$-matching without forbidden subgraphs in an undirected graph $G$ with the maximum degree bounded by $t+1$, where $t$ is an integer greater than $2$. Depending on the variant forbidden…

数据结构与算法 · 计算机科学 2024-05-02 Katarzyna Paluch , Mateusz Wasylkiewicz

The exact matching problem is a constrained variant of the maximum matching problem: given a graph with each edge having a weight $0$ or $1$ and an integer $k$, the goal is to find a perfect matching of weight exactly $k$. Mulmuley,…

数据结构与算法 · 计算机科学 2024-05-07 Hitoshi Murakami , Yutaro Yamaguchi

The \textsc{Bipartite Contraction} problem is to decide, given a graph $G$ and a parameter $k$, whether we can can obtain a bipartite graph from $G$ by at most $k$ edge contractions. The fixed-parameter tractability of the problem was shown…

数据结构与算法 · 计算机科学 2013-09-05 Sylvain Guillemot , Dániel Marx

Suppose you are given a graph $G=(V,E)$ with a weight assignment $w:V\rightarrow\mathbb{Z}$ and that your objective is to modify $w$ using legal steps such that all vertices will have the same weight, where in each legal step you are…

离散数学 · 计算机科学 2015-07-03 Friedrich Eisenbrand , Shay Moran , Rom Pinchasi , Martin Skutella

In the classic Maximum Weight Independent Set problem we are given a graph $G$ with a nonnegative weight function on vertices, and the goal is to find an independent set in $G$ of maximum possible weight. While the problem is NP-hard in…

数据结构与算法 · 计算机科学 2020-03-24 Andrzej Grzesik , Tereza Klimošová , Marcin Pilipczuk , Michał Pilipczuk

Let $G$ be an intersection graph of $n$ geometric objects in the plane. We show that a maximum matching in $G$ can be found in $O(\rho^{3\omega/2}n^{\omega/2})$ time with high probability, where $\rho$ is the density of the geometric…

计算几何 · 计算机科学 2024-05-02 Édouard Bonnet , Sergio Cabello , Wolfgang Mulzer

We address the following general question: given a graph class C on which we can solve Maximum Matching in (quasi) linear time, does the same hold true for the class of graphs that can be modularly decomposed into C ? A major difficulty in…

数据结构与算法 · 计算机科学 2018-04-26 Guillaume Ducoffe , Alexandru Popa

In this paper we consider graph algorithms in models of computation where the space usage (random accessible storage, in addition to the read only input) is sublinear in the number of edges $m$ and the access to input data is constrained.…

数据结构与算法 · 计算机科学 2015-04-21 Kook Jin Ahn , Sudipto Guha

Let $V$ be a set of $n$ vertices, ${\cal M}$ a set of $m$ labels, and let $\mathbf{R}$ be an $m \times n$ matrix of independent Bernoulli random variables with success probability $p$. A random instance $G(V,E,\mathbf{R}^T\mathbf{R})$ of…

离散数学 · 计算机科学 2021-09-15 Sotiris Nikoletseas , Christoforos Raptopoulos , Paul Spirakis

We present a deterministic way of assigning small (log bit) weights to the edges of a bipartite planar graph so that the minimum weight perfect matching becomes unique. The isolation lemma as described in (Mulmuley et al. 1987) achieves the…

数据结构与算法 · 计算机科学 2008-02-21 Samir Datta , Raghav Kulkarni , Sambuddha Roy

The maximum matching width is a width-parameter that is defined on a branch-decomposition over the vertex set of a graph. The size of a maximum matching in the bipartite graph is used as a cut-function. In this paper, we characterize the…

组合数学 · 数学 2016-06-24 Jisu Jeong , Seongmin Ok , Geewon Suh

An instance of the Connected Maximum Cut problem consists of an undirected graph G = (V, E) and the goal is to find a subset of vertices S $\subseteq$ V that maximizes the number of edges in the cut \delta(S) such that the induced graph…

数据结构与算法 · 计算机科学 2015-07-03 MohammadTaghi Hajiaghayi , Guy Kortsarz , Robert MacDavid , Manish Purohit , Kanthi Sarpatwar