Results 41 to 50 of about 254,679 (264)
Summary: We define a new graph operation called the \(k\)th inner power. The construction-which is somewhat analogous to the \(k\)th power with respect to the direct product-seems to lend itself nicely to certain questions concerning cancellation over the direct product.
Richard H. Hammack, Neal Livesay
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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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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Min Zhao, Liying Kang, Gerard J. Chang
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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 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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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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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
SHACL-Based Validation Method of Knowledge Graph for Power System Model
With the expansion of the power grid and the high penetration of distributed energy resources, the power system analysis and decision-making have put forward higher requirements for comprehensive and accurate power grid models.
Xiaolu LI +5 more
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