Results 61 to 70 of about 5,539,148 (288)
On Power Graph Representation of Γ_1-nonderanged Permutation Group
A -nonderanged permutation group is a permutation group such that where . In this paper, an undirected power graph representation of -nonderanged permutation group denoted by has been studied.
Anas Yusuf, Almustapha Umar
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Power Domination in the Generalized Petersen Graphs
The problem of monitoring an electric power system by placing as few measurement devices in the system can be formulated as a power dominating set problem in graph theory.
Zhao Min, Shan Erfang, Kang Liying
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Power Domination Number On Shackle Operation with Points as Lingkage
The Power dominating set is a minimum point of determination in a graph that can dominate the connected dots around it, with a minimum domination point.
Ilham Saifudin
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A survey on the development status and application prospects of knowledge graph in smart grids
With the advent of the electric power big data era, semantic interoperability and interconnection of power data have received extensive attention. Knowledge graph technology is a new method describing the complex relationships between concepts and ...
Jian Wang, Xi Wang, Chaoqun Ma, Lei Kou
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Average Degree in Graph Powers [PDF]
AbstractThe kth power of a simple graph G, denoted by , is the graph with vertex set where two vertices are adjacent if they are within distance k in G. We are interested in finding lower bounds on the average degree of . Here we prove that if G is connected with minimum degree and , then G4 has average degree at least .
Matt DeVos +2 more
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Enteropathogenic E. coli (EPEC) infects the human intestinal epithelium, resulting in severe illness and diarrhoea. In this study, we compared the infection of cancer‐derived cell lines with human organoid‐derived models of the small intestine. We observed a delayed in attachment, inflammation and cell death on primary cells, indicating that host ...
Mastura Neyazi +5 more
wiley +1 more source
Real Quadratic-Form-Based Graph Pooling for Graph Neural Networks
Graph neural networks (GNNs) have developed rapidly in recent years because they can work over non-Euclidean data and possess promising prediction power in many real-word applications.
Youfa Liu, Guo Chen
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In this paper, some results concerning the colorings of graph powers are presented. The notion of helical graphs is introduced. We show that such graphs are hom-universal with respect to high odd-girth graphs whose $(2t+1)$st power is bounded by a Kneser graph. Also, we consider the problem of existence of homomorphism to odd cycles. We prove that such
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Power domination in Kn\"odel graphs and Hanoi graphs
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Varghese, Seethu +2 more
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Biophysical approaches for studying viral entry
Viruses infect all living organisms and have been responsible for major epidemics and pandemics. Their ongoing evolutionary battle with host defenses creates a constant need for improved tools to study viral behavior. Advancing methods to probe viral attachment, fusion, and genome release deepen our understanding of how infections begin and support the
Inbar Yosibash, Raya Sorkin
wiley +1 more source

