Results 31 to 40 of about 35,950 (265)
Ollivier-Ricci curvature convergence in random geometric graphs
Connections between continuous and discrete worlds tend to be elusive. One example is curvature. Even though there exist numerous nonequivalent definitions of graph curvature, none is known to converge in any limit to any traditional definition of ...
Pim van der Hoorn +4 more
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Edge-Removal and Non-Crossing Configurations in Geometric Graphs [PDF]
Graphs and ...
Oswin Aichholzer +7 more
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Generalised resilience models for power systems and dependent infrastructure during extreme events
This study presents a generalised critical infrastructures resilience model for extreme events with a focus on power grids. Infrastructures are modelled as three domains – physical, cyber, and human.
Vaidyanathan Krishnamurthy +5 more
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Geometric Random Graphs on Circles [PDF]
14 pages, 1 figure.
Angel, Omer, Spinka, Yinon
openaire +2 more sources
Dynamic FastMap: An Efficient Algorithm for Spatiotemporal Embedding of Dynamic Graphs
Efficiently embedding graphs in a Euclidean space has many benefits: It allows us to interpret and solve graph-theoretic problems using geometric and analytical methods.
Omkar Thakoor, T. K. Satish Kumar
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Minimal Graphs with Respect to Geometric Distance Realizability
A graph G is minimal non-unit-distance graph if there is no drawing of G in Euclidean plane having all edges of unit length, but, for each edge e of G, G − e has such a drawing.
Madaras Tomáš, Široczki Pavol
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The Geometric Index of the Wheel, Wn
The geometric index of a graph G is defined as the smallest non-negative integer n such that a graph G is a unit graph in r. Graphs considered are finite, undirected, without loops nor multiple edges.
Rowena Baylon
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Directed random geometric graphs: structural and spectral properties
In this work we analyze structural and spectral properties of a model of directed random geometric graphs: given n vertices uniformly and independently distributed on the unit square, a directed edge is set between two vertices if their distance is ...
Kevin Peralta-Martinez +1 more
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Generalized Permutants and Graph GENEOs
This paper is part of a line of research devoted to developing a compositional and geometric theory of Group Equivariant Non-Expansive Operators (GENEOs) for Geometric Deep Learning. It has two objectives. The first objective is to generalize the notions
Faraz Ahmad +2 more
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On Statistical Properties of a New Family of Geometric Random Graphs
We define a new family of random geometric graphs which we call random covering graphs and study its statistical properties. To the best of our knowledge, this family of graphs has not been explored in the past.
Kedar Joglekar +2 more
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