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We present very efficient active learning algorithms for link classification in signed networks. Our algorithms are motivated by a stochastic model in which edge labels are obtained through perturbations of a initial sign assignment…

机器学习 · 计算机科学 2013-03-01 Nicolo Cesa-Bianchi , Claudio Gentile , Fabio Vitale , Giovanni Zappella

We present a randomized parallel algorithm in the {\sf PRAM} model for $k$-vertex connectivity. Given an undirected simple graph, our algorithm either finds a set of fewer than $k$ vertices whose removal disconnects the graph or reports…

数据结构与算法 · 计算机科学 2025-04-09 Yonggang Jiang , Changki Yun

In a standard $f$-connectivity network design problem, we are given an undirected graph $G=(V,E)$, a cut-requirement function $f:2^V \rightarrow {\mathbb{N}}$, and non-negative costs $c(e)$ for all $e \in E$. We are then asked to find a…

最优化与控制 · 数学 2016-04-26 Andreas Emil Feldmann , Jochen Könemann , Kanstantsin Pashkovich , Laura Sanità

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…

数据结构与算法 · 计算机科学 2014-04-15 Stephen Alstrup , Haim Kaplan , Mikkel Thorup , Uri Zwick

We present near-optimal algorithms for detecting small vertex cuts in the CONGEST model of distributed computing. Despite extensive research in this area, our understanding of the vertex connectivity of a graph is still incomplete,…

数据结构与算法 · 计算机科学 2023-06-21 Merav Parter , Asaf Petruschka

The vertex connectivity of an $m$-edge $n$-vertex undirected graph is the smallest number of vertices whose removal disconnects the graph, or leaves only a singleton vertex. In this paper, we give a reduction from the vertex connectivity…

数据结构与算法 · 计算机科学 2021-04-12 Jason Li , Danupon Nanongkai , Debmalya Panigrahi , Thatchaphol Saranurak , Sorrachai Yingchareonthawornchai

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…

数据结构与算法 · 计算机科学 2026-05-21 Josia John , Simon Meierhans , Maximilian Probst Gutenberg

Flexible network design deals with building a network that guarantees some connectivity requirements between its vertices, even when some of its elements (like vertices or edges) fail. In particular, the set of edges (resp. vertices) of a…

数据结构与算法 · 计算机科学 2024-04-16 Dylan Hyatt-Denesik , Afrouz Jabal Ameli , Laura Sanita

A good edge-labelling of a simple, finite graph is a labelling of its edges with real numbers such that, for every ordered pair of vertices (u,v), there is at most one nondecreasing path from u to v. In this paper we prove that any graph on…

组合数学 · 数学 2014-03-18 Abbas Mehrabian , Dieter Mitsche , Paweł Prałat

Let $G=(V,E)$ be a graph. An ordering of $G$ is a bijection $\alpha: V\dom \{1,2,..., |V|\}.$ For a vertex $v$ in $G$, its closed neighborhood is $N[v]=\{u\in V: uv\in E\}\cup \{v\}.$ The profile of an ordering $\alpha$ of $G$ is…

数据结构与算法 · 计算机科学 2007-05-23 Gregory Gutin , Stefan Szeider , Anders Yeo

We initiate the study of spanners in arbitrarily vertex- or edge-colored graphs (with no "legality" restrictions), that are resilient to failures of entire color classes. When a color fails, all vertices/edges of that color crash. An…

数据结构与算法 · 计算机科学 2023-11-16 Asaf Petruschka , Shay Sapir , Elad Tzalik

In this paper we focus on the following constrained reachability problem over edge-labeled graphs like RDF -- "given source node x, destination node y, and a sequence of edge labels (a, b, c, d), is there a path between the two nodes such…

数据库 · 计算机科学 2012-03-14 Medha Atre , Vineet Chaoji , Mohammed J. Zaki

We introduce the concept of link-irregular labelings for graphs, extending the notion of link-irregular graphs through edge labeling with positive integers. A labeling is link-irregular if every vertex has a uniquely labeled subgraph…

组合数学 · 数学 2025-07-01 Alexander Bastien , Omid Khormali

The Correlation Clustering problem is one of the most extensively studied clustering formulations due to its wide applications in machine learning, data mining, computational biology and other areas. We consider the Correlation Clustering…

数据结构与算法 · 计算机科学 2025-03-04 Jianqi Zhou , Zhongyi Zhang , Jiong Guo

The problem of Distance Edge Labeling is a variant of Distance Vertex Labeling (also known as $L_{2,1}$ labeling) that has been studied for more than twenty years and has many applications, such as frequency assignment. The Distance Edge…

离散数学 · 计算机科学 2022-03-17 Dušan Knop , Tomáš Masařík

We present an efficient algorithm for a problem in the interface between clustering and graph embeddings. An embedding $\varphi:G\rightarrow M$ of a graph $G$ into a 2-manifold $M$ maps the vertices in $V(G)$ to distinct points and the…

计算几何 · 计算机科学 2019-07-24 Hugo A. Akitaya , Radoslav Fulek , Csaba D. Tóth

A graph class admits an implicit representation if, for every positive integer $n$, its $n$-vertex graphs have a $O(\log n)$-bit (adjacency) labeling scheme, i.e., their vertices can be labeled by binary strings of length $O(\log n)$ such…

组合数学 · 数学 2024-09-10 Édouard Bonnet , Julien Duron , John Sylvester , Viktor Zamaraev

We study graph connectivity problem in MPC model. On an undirected graph with $n$ nodes and $m$ edges, $O(\log n)$ round connectivity algorithms have been known for over 35 years. However, no algorithms with better complexity bounds were…

数据结构与算法 · 计算机科学 2018-05-09 Alexandr Andoni , Clifford Stein , Zhao Song , Zhengyu Wang , Peilin Zhong

In this paper, we look at the problem of randomized leader election in synchronous distributed networks with a special focus on the message complexity. We provide an algorithm that solves the implicit version of leader election (where…

分布式、并行与集群计算 · 计算机科学 2019-01-03 Seth Gilbert , Peter Robinson , Suman Sourav

A typical Vertical Federated Learning (VFL) scenario involves several participants collaboratively training a machine learning model, where each party has different features for the same samples, with labels held exclusively by one party.…

机器学习 · 计算机科学 2026-03-05 Wenhao Jiang , Shaojing Fu , Yuchuan Luo , Lin Liu