Results 61 to 70 of about 5,251,465 (203)

On the r-dynamic coloring of some fan graph families

open access: yesAnalele Stiintifice ale Universitatii Ovidius Constanta: Seria Matematica, 2021
In this paper, we determine the r-dynamic chromatic number of the fan graph Fm,n and determine sharp bounds of this graph invariant for four related families of graphs: The middle graph M(Fm,n), the total graph T (Fm,n), the central graph C(Fm,n) and the
Falcón Raúl M.   +3 more
doaj   +1 more source

Graphoidal graphs and graphoidal digraphs: a generalization of line graphs

open access: yesAKCE International Journal of Graphs and Combinatorics, 2020
A graphoidal cover of a graph G is a collection ψ of paths (not necessarily open) in G such that each path in ψ has at least two vertices, every vertex of G is an internal vertex of at most one path in ψ, and every edge of G is in exactly one path in Let
S. Arumugam, Jay S. Bagga
doaj   +1 more source

Eulerian Cycle Decomposition Conjecture for the line graph of complete graphs

open access: yesAKCE International Journal of Graphs and Combinatorics, 2019
The Eulerian Cycle Decomposition Conjecture, by Chartrand, Jordon and Zhang, states that if the minimum number of odd cycles in a cycle decomposition of an Eulerian graph of size is the maximum number of odd cycles in such a cycle decomposition is and is
R. Rajarajachozhan, R. Sampathkumar
doaj   +1 more source

Computing Topological Indices and Polynomials for Line Graphs

open access: yesMathematics, 2018
A topological index is a number related to the atomic index that allows quantitative structure–action/property/toxicity connections. All the more vital topological indices correspond to certain physico-concoction properties like breaking point ...
Shahid Imran   +3 more
doaj   +1 more source

LeL-GNN: Learnable Edge Sampling and Line Based Graph Neural Network for Link Prediction

open access: yesIEEE Access, 2023
Graph neural networks lose a lot of their computing power when more network layers are added. As a result, the majority of existing graph neural networks have a shallow depth of learning. Over-smoothing and information loss are two of the key issues that
Md Golam Morshed   +2 more
doaj   +1 more source

Generative Service Provisioning for IoT Devices Using Line Graph Structure

open access: yesIEEE Access, 2023
A service subgraph helps Internet-of-Things devices access resources in a dynamic Internet-of-Things device network. We propose a service subgraph generation method for Internet-of-Things device networks.
Joohyun Kim, Jae-Hoon Kim
doaj   +1 more source

Graph Drawing Techniques for Geographic Visualization [PDF]

open access: yes, 2004
Geovisualizers often need to represent data that consists of items related together. Such data sets can be abstracted to a mathematical structure, the graph.
Rodgers, Peter
core  

On-line rankings of graphs

open access: yesDiscrete Mathematics, 2000
Let \(G= (V,E)\) be a simple graph. A vertex \(k\)-ranking of \(G\) is a proper vertex coloring \(\varphi: V\to\{1,\dots, k\}\) such that every path in \(G\) with endvertices \(x\) and \(y\) of the same color \(\varphi(x)= \varphi(y)\) contains a vertex \(z\) with higher color \(\varphi(z)> \varphi(x)\).
Ingo Schiermeyer   +2 more
openaire   +2 more sources

Split Legendary Domination in graphs

open access: yesRatio Mathematica
Harary and Norman introduced the line graph L(G) . We introduced the legendary domination number by combining the domination concept both in graph and its line graph.
P. Kavitha
doaj   +1 more source

Wiener Index of Graphs and Their Line Graphs [PDF]

open access: yesJournal of the Operations Research Society of China, 2013
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Su, Xiaohai, Wang, Ligong, Gao, Yun
openaire   +1 more source

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