Results 21 to 30 of about 35,950 (265)

Dualizing Distance-Hereditary Graphs

open access: yesDiscussiones Mathematicae Graph Theory, 2021
Distance-hereditary graphs can be characterized by every cycle of length at least 5 having crossing chords. This makes distance-hereditary graphs susceptible to dualizing, using the common extension of geometric face/vertex planar graph duality to cycle ...
McKee Terry A.
doaj   +1 more source

ON SPANNERS OF GEOMETRIC GRAPHS [PDF]

open access: yesInternational Journal of Foundations of Computer Science, 2006
Given a connected geometric graph G, we consider the problem of constructing a t-spanner of G having the minimum number of edges. We prove that for every real number t with [Formula: see text], there exists a connected geometric graph G with n vertices, such that every t-spanner of G contains Ω(n1+1/t) edges.
Gudmundsson, Joachim, Smid, Michiel
openaire   +2 more sources

Rule-based transformations for geometric modelling [PDF]

open access: yesElectronic Proceedings in Theoretical Computer Science, 2011
The context of this paper is the use of formal methods for topology-based geometric modelling. Topology-based geometric modelling deals with objects of various dimensions and shapes.
Thomas Bellet   +2 more
doaj   +1 more source

The effects of random geometric graph structure and clustering on localizability of sensor networks

open access: yesInternational Journal of Distributed Sensor Networks, 2017
Graph rigidity provides the conditions of unique localizability for cooperative localization of wireless ad hoc and sensor networks. Specifically, redundant rigidity and 3-connectivity are necessary and sufficient conditions for unique localizability of ...
Tolga Eren
doaj   +1 more source

The graph isomorphism problem on geometric graphs [PDF]

open access: yesDiscrete Mathematics & Theoretical Computer Science, 2014
Special issue PRIMA ...
Ryuhei Uehara
doaj   +1 more source

Molecular geometric deep learning

open access: yesCell Reports: Methods, 2023
Summary: Molecular representation learning plays an important role in molecular property prediction. Existing molecular property prediction models rely on the de facto standard of covalent-bond-based molecular graphs for representing molecular topology ...
Cong Shen, Jiawei Luo, Kelin Xia
doaj   +1 more source

Cores of Geometric Graphs

open access: yesAnnals of Combinatorics, 2011
Cameron and Kazanidis have recently shown that rank-3 graphs are either cores or have complete cores, and they asked whether this holds for all strongly regular graphs. We prove that this is true for the point graphs and line graphs of generalized quadrangles and that when the number of points is sufficiently large, it is also true for the block graphs
Godsil, Chris, Royle, Gordon F.
openaire   +3 more sources

Symmetry and Correspondence of Algorithmic Complexity over Geometric, Spatial and Topological Representations

open access: yesEntropy, 2018
We introduce a definition of algorithmic symmetry in the context of geometric and spatial complexity able to capture mathematical aspects of different objects using as a case study polyominoes and polyhedral graphs.
Hector Zenil   +2 more
doaj   +1 more source

Posets of geometric graphs

open access: yesArs Mathematica Contemporanea, 2012
42 pages, 25 figures; co-author added in replaced ...
Boutin, Debra L.   +3 more
openaire   +3 more sources

Vertex-Based Topological Indices of Double and Strong Double Graph of Dutch Windmill Graph

open access: yesJournal of Chemistry, 2021
A measurement of the molecular topology of graphs is known as a topological index, and several physical and chemical properties such as heat formation, boiling point, vaporization, enthalpy, and entropy are used to characterize them.
Muhammad Asad Ali   +3 more
doaj   +1 more source

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