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Large real-life complex networks are often modeled by various random graph constructions and hundreds of further references therein. In many cases it is not at all clear how the modeling strength of differently generated random graph model…

数据结构与算法 · 计算机科学 2020-09-01 András Faragó , Rupei Xu

We exactly settle the complexity of graph realization, graph rigidity, and graph global rigidity as applied to three types of graphs: "globally noncrossing" graphs, which avoid crossings in all of their configurations; matchstick graphs,…

计算几何 · 计算机科学 2025-10-21 Zachary Abel , Erik D. Demaine , Martin L. Demaine , Sarah Eisenstat , Jayson Lynch , Tao B. Schardl

Aligning two partially-overlapped 3D line reconstructions in Euclidean space is challenging, as we need to simultaneously solve correspondences and relative pose between line reconstructions. This paper proposes a neural network based…

计算机视觉与模式识别 · 计算机科学 2020-12-03 Liu Liu , Hongdong Li , Haodong Yao , Ruyi Zha

Dimension is a fundamental property of objects and the space in which they are embedded. Yet ideal notions of dimension, as in Euclidean spaces, do not always translate to physical spaces, which can be constrained by boundaries and…

物理与社会 · 物理学 2022-07-06 Robert L. Peach , Alexis Arnaudon , Mauricio Barahona

Computing a Euclidean minimum spanning tree of a set of points is a seminal problem in computational geometry and geometric graph theory. We combine it with another classical problem in graph drawing, namely computing a monotone geometric…

计算几何 · 计算机科学 2024-11-26 Emilio Di Giacomo , Walter Didimo , Eleni Katsanou , Lena Schlipf , Antonios Symvonis , Alexander Wolff

Complex networks can be understood as graphs whose connectivity deviates from those of regular or near-regular graphs, which are understood as being `simple'. While a great deal of the attention so far dedicated to complex networks has been…

数据分析、统计与概率 · 物理学 2008-08-29 Luciano da Fontoura Costa , Francisco A. Rodrigues

In the presented article, statistical properties regarding the topology and standard percolation on relative neighborhood graphs (RNGs) for planar sets of points, considering the Euclidean metric, are put under scrutiny. RNGs belong to the…

统计力学 · 物理学 2013-04-17 O. Melchert

This paper deals with dynamical networks for which the relations between node signals are described by proper transfer functions and external signals can influence each of the node signals. In particular, we are interested in…

最优化与控制 · 数学 2018-07-24 Henk J. van Waarde , Pietro Tesi , M. Kanat Camlibel

In order to make full use of geographic routing techniques developed for sensor networks, nodes must be localized. However, traditional localization and virtual localization techniques are dependent either on expensive and sometimes…

网络与互联网体系结构 · 计算机科学 2010-02-03 Aubin Jarry , Pierre Leone , Jose Rolim

We define the notion of affine rigidity of a hypergraph and prove a variety of fundamental results for this notion. First, we show that affine rigidity can be determined by the rank of a specific matrix which implies that affine rigidity is…

计算几何 · 计算机科学 2013-08-14 Steven J. Gortler , Craig Gotsman , Ligang Liu , Dylan P. Thurston

A graph $G = (V,E)$ is globally rigid in $\mathbb{R}^d$ if for any generic placement $p : V \rightarrow \mathbb{R}^d$ of the vertices, the edge lengths $||p(u) - p(v)||, uv \in E$ uniquely determine $p$, up to congruence. In this paper we…

组合数学 · 数学 2025-02-14 Dániel Garamvölgyi , Tibor Jordán

This paper considers dynamic networks where vertices and edges represent manifest signals and causal dependencies among the signals, respectively. We address the problem of how to determine if the dynamics of a network can be identified…

最优化与控制 · 数学 2021-05-10 Xiaodong Cheng , Shengling Shi , Ioannis Lestas , Paul M. J. Van den Hof

Network Embeddings (NEs) map the nodes of a given network into $d$-dimensional Euclidean space $\mathbb{R}^d$. Ideally, this mapping is such that `similar' nodes are mapped onto nearby points, such that the NE can be used for purposes such…

机器学习 · 统计学 2018-10-17 Bo Kang , Jefrey Lijffijt , Tijl De Bie

In this paper we study the node failure identification problem in undirected graphs by means of Boolean Network Tomography. We argue that vertex connectivity plays a central role. We show tight bounds on the maximal identifiability in a…

网络与互联网体系结构 · 计算机科学 2019-07-04 Nicola Galesi , Fariba Ranjbar , Michele Zito

We study minimum degree conditions that guarantee that an $n$-vertex graph is rigid in $\mathbb{R}^d$. For small values of $d$, we obtain a tight bound: for $d = O(\sqrt{n})$, every $n$-vertex graph with minimum degree at least $(n+d)/2 -…

组合数学 · 数学 2024-12-20 Michael Krivelevich , Alan Lew , Peleg Michaeli

A framework (a straight-line embedding of a graph into a normed space allowing edges to cross) is globally rigid if any other framework with the same edge lengths with respect to the chosen norm is an isometric copy. We investigate global…

度量几何 · 数学 2025-04-04 Sean Dewar

We prove a nonuniqueness theorem for Bernoulli site percolation on properly embedded planar graphs, and we obtain a general connectivity principle beyond planarity. Let $G$ be an infinite connected graph properly embedded in $\RR^2$ with…

概率论 · 数学 2026-03-23 Zhongyang Li

For a finite point set $E\subset \mathbb{R}^d$ and a connected graph $G$ on $k+1$ vertices, we define a $G$-framework to be a collection of $k + 1$ points in E such that the distance between a pair of points is specified if the…

组合数学 · 数学 2018-05-22 A. Iosevich , J. Passant

A simple graph G is said to be representable in a real vector space of dimension m if there is an embedding of the vertex set in the vector space such that the Euclidean distance between any two distinct vertices is one of only two distinct…

组合数学 · 数学 2009-05-30 Aidan Roy

This work studies the limitations of uniquely identifying the structure (i.e., topology) of a networked linear system from partial measurements of its nodal dynamics. In general, many networks can be consistent with these measurements; this…

系统与控制 · 电气工程与系统科学 2026-03-13 Jaidev Gill , Jing Shuang Li