Results 21 to 30 of about 17,262 (251)
Frontiers in Neuroscience, 2022 We review recent advances in using mathematical models of the relationship between the brain structure and function that capture features of brain dynamics. We argue the need for models that can jointly capture temporal, spatial, and spectral features of
Ashish Raj +2 more
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Spectral sparsification of graphs [PDF]
Communications of the ACM, 2013 Graph sparsification is the approximation of an arbitrary graph by a sparse graph. We explain what it means for one graph to be a spectral approximation of another and review the development of algorithms for spectral sparsification. In addition to being an interesting concept, spectral sparsification has been an important tool in the design ...
Joshua D. Batson +3 more
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Second Hyper Zagreb Spectral Radii of Graph Operations
Scientific Annals of Computer ScienceChemical graph theory is essential for deriving graph spectral radius, especially in quantum chemistry; a significant link exists between eigenvalues and this invariant of spectral graph theory.
Ahmad Bilal, Muhammad Mobeen Munir
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Spectral theory of isogeny graphs
Journal of Number TheoryAccepted for publication on the Journal of Number Theory.
Giulio Codogni, Guido Maria Lido
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Graph Entropy of Some Special Chemical Graphs
مجلة بغداد للعلومChemical graph theory plays an important role in modelling molecules, especially examining physico-chemical properties of the chemical compounds. Alkanes are one of the chemical compounds which are made up of hydrogen and carbon atoms, generally known ...
B. I. Andrew, A Anuradha
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Sum-edge characteristic polynomials of graphs
Journal of Taibah University for Science, 2019 Modelling a chemical compound by a (molecular) graph helps us to obtain some required information about the chemical and physical properties of the corresponding molecular structure.
Mert Sinan Oz +2 more
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Automatic Registration Of SAR And Optical Image Based On Line And Graph Spectral Theory [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2014 In this paper, a novel registration method is proposed by integrating the graph spectral theory and line features. The principal steps of our algorithm are as follows.
J. Zhao, S. Gao, H. Sui, Y. Li, L. Li
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Infinite Lewis Weights in Spectral Graph Theory
CoRR, 2023 We study the spectral implications of re-weighting a graph by the $\ell_\infty$-Lewis weights of its edges. Our main motivation is the ER-Minimization problem (Saberi et al., SIAM'08): Given an undirected graph $G$, the goal is to find positive normalized edge-weights $w\in \mathbb{R}_+^m$ which minimize the sum of pairwise \emph{effective-resistances}
Amit Suliman, Omri Weinstein
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FEBS Letters, EarlyView.Obesity raises blood levels of PAI‐1, a protein linked to metabolic dysfunction‐associated steatotic liver disease in people with obesity. In female mice fed a high‐fat diet, partially lowering PAI‐1 led to smaller subcutaneous fat cells and lower liver cholesterol, without changing body weight or insulin sensitivity.
Claudia E. Ramirez Bustamante +10 more
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First Hyper Zagreb Spectral Radii of Splitting and Shadow Graphs
Scientific Annals of Computer ScienceThe spectral radius RS of graph G is a spectral invariant derived from the eigenvalues of the associated matrix for a graph G. It is widely used in fields such as computer science, chemistry, biology, and network analysis.
Ahmad Bilal, Muhammad Mobeen Munir
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