Results 231 to 240 of about 35,950 (265)
Some of the next articles are maybe not open access.

Distinguishing geometric graphs

Journal of Graph Theory, 2006
AbstractWe begin the study of distinguishing geometric graphs. Let G be a geometric graph. An automorphism of the underlying graph that preserves both crossings and noncrossings is called a geometric automorphism. A labeling, f: V(G) → {1, 2, … , r}, is said to be r‐distinguishing if no nontrivial geometric automorphism preserves the labels.
Michael O. Albertson, Debra L. Boutin
openaire   +1 more source

Geometric graph homomorphisms

Journal of Graph Theory, 2011
AbstractA geometric graph is a simple graph drawn on points in the plane, in general position, with straightline edges. A geometric homomorphism from to is a vertex map that preserves adjacencies and crossings. This work proves some basic properties of geometric homomorphisms and defines the geochromatic number as the minimum n so that there is a ...
Debra L. Boutin, Sally Cockburn
openaire   +1 more source

Graphs. Geometric Structure

1975
The properties of a finite graph (only type considered) may be divided into two distinct groups: geometric, really topological properties, and algebraic properties. In the present chapter, we present the geometry of a graph and in the next its algebra.
openaire   +1 more source

Random Geometric Graphs

2017
In this chapter, we discuss the random geometric graph (also called the unit disk graph ) which is an important model for spatial networks. We will also introduce and discuss some of the variants of this model. The random geometric graph is obtained from a random distribution of points in the plane and a geometric rule for connecting these points and ...
openaire   +1 more source

Knowledge Graphs

ACM Computing Surveys, 2022
Aidan Hogan   +2 more
exaly  

Knowledge Graphs: Opportunities and Challenges

Artificial Intelligence Review, 2023
Feng Xia
exaly  

Use of directed acyclic graphs (DAGs) to identify confounders in applied health research: review and recommendations

International Journal of Epidemiology, 2021
Peter W G Tennant   +2 more
exaly  

Home - About - Disclaimer - Privacy