Results 101 to 110 of about 8,152,507 (265)
Some New Results Concerning Power Graphs and Enhanced Power Graphs of Groups
Theorem 4.4 of the first version of the manuscript turned out to be incorrect, which we show in the present version by providing a counterexample. Therefore, Theorem 4.4 and Corollary 4.5 of the first version have been removed. Further, Theorems 4.8 and 4.9 have been added.
Bošnjak, Ivica +2 more
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Drawing Power Law Graphs [PDF]
We present methods for drawing graphs that arise in various information networks. It has been noted that many realistic graphs have a power law degree distribution and exhibit the small world phenomenon. Our methods are influenced by recent developments in the modeling of such graphs.
Reid Andersen, Fan Chung, Lincoln Lu
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Wind Power Forecast Using Multilevel Adaptive Graph Convolution Neural Network
Accurate forecasting of wind power is essential for maintaining the stability and efficiency of power networks as renewable energy sources become more integrated.
Oluwaseun E. Duntoye +2 more
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Bounding the bias of tree-like sampling in IP topologies
It is widely believed that the Internet's AS-graph degree distribution obeys a power-law form. However, it was recently argued that since Internet data is collected in a tree-like fashion, it only produces a sample of the degree distribution, and ...
Reuven Cohen, Mira Gonen, Avishai Wool
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On connectedness of power graphs of finite groups [PDF]
Ramesh Prasad Panda, K. V. Krishna
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Knowledge graph, which is a rapidly developing technology, provides strong support in business and engineering. Knowledge graph plays an important role in recommendations and decision-making, while in the electric power industry, there would be more ...
Tianjiao Pu +3 more
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Topology Modeling and Analysis of a Power Grid Network Using a Graph Database
We introduce a new method for storing, modeling, and analyzing power grid data. First, we present an architecture for building the network model for a power grid using the open source graph database Neo4j.
Bowen Kan +5 more
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Dynamic State Estimation is a crucial task in power systems. Graph Neural Networks have demonstrated significant potential in dynamic state estimation, for power systems by effectively analyzing measurement data and capturing the complex interactions and
Seyed Hamed Haghshenas, Mia Naeini
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Visibility Graph Power Geometric Aggregation Operator and Its Application in Water, Energy, and Food Efficiency Evaluation. [PDF]
Liu L, Huang J, Wang H.
europepmc +1 more source
Critical classes of power graphs and reconstruction of directed power graphs
Abstract In a graph Γ = ( V , E
Daniela Bubboloni, Nicolas Pinzauti
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