Results 41 to 50 of about 5,903,622 (201)
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McDiarmid, C, Steger, A, Welsh, D
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Optimal Wireless Resource Allocation With Random Edge Graph Neural Networks [PDF]
We consider the problem of optimally allocating resources across a set of transmitters and receivers in a wireless network. The resulting optimization problem takes the form of constrained statistical learning, in which solutions can be found in a model ...
Mark Eisen, Alejandro Ribeiro
semanticscholar +1 more source
Dynamic Random Graph Protection Scheme Based on Chaos and Cryptographic Random Mapping
Advances in network technology have enhanced the concern for network security issues. In order to address the problem that hopping graph are vulnerable to external attacks (e.g., the changing rules of fixed graphs are more easily grasped by attackers ...
Zhu Fang, Zhengquan Xu
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Tail Index Estimation of PageRanks in Evolving Random Graphs
Random graphs are subject to the heterogeneities of the distributions of node indices and their dependence structures. Superstar nodes to which a large proportion of nodes attach in the evolving graphs are considered.
Natalia Markovich +2 more
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On hamiltonicity of uniform random intersection graphs
We give a sufficient condition for the hamiltonicity of the uniform random intersection graph G{n,m,d}. It is a graph on n vertices, where each vertex is assigned d keys drawn independently at random from a given set of m keys, and where any two vertices
Mindaugas Bloznelis +1 more
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Connectivity of Random Geometric Hypergraphs
We consider a random geometric hypergraph model based on an underlying bipartite graph. Nodes and hyperedges are sampled uniformly in a domain, and a node is assigned to those hyperedges that lie within a certain radius.
Henry-Louis de Kergorlay +1 more
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Inspired by a concept in comparative genomics, we investigate properties of randomly chosen members of G_1(m,n,t), the set of bipartite graphs with $m$ left vertices, n right vertices, t edges, and each vertex of degree at least one. We give asymptotic results for the number of such graphs and the number of $(i,j)$ trees they contain.
Blasiak, Jonah, Durrett, Rick
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We investigate the asymptotic structure of a random perfect graph Pn sampled uniformly from the set of perfect graphs on vertex set . Our approach is based on the result of Prömel and Steger that almost all perfect graphs are generalised split graphs, together with a method to generate such graphs almost uniformly.
McDiarmid, C, Yolov, N
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Temporal Exponential Random Graph Models with btergm: Estimation and Bootstrap Confidence Intervals
The xergm package is an implementation of extensions to the exponential random graph model (ERGM). It acts as a meta-package for multiple constituent packages.
Philip Leifeld +2 more
semanticscholar +1 more source
Random graph approach to multifunctional molecular networks [PDF]
Formation of a molecular network from multifunctional precursors is modelled with a random graph process. The random graph model favours reactivity for monomers that are positioned close in the network topology, and disfavours reactivity for those that ...
I. Kryven +3 more
semanticscholar +1 more source

