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Bounds on graph energy and Randic energy

open access: yesDiscrete Mathematics Letters, 2021
Summary: In the present paper, new lower and upper bounds on energy and Randić energy of non-singular (bipartite) graphs are reported. Additionally, it is shown that the obtained lower bounds are stronger than two previously known lower bounds in the literature.
openaire   +3 more sources

More hyperenergetic molecular graphs [PDF]

open access: yesJournal of the Serbian Chemical Society, 2000
If G is a molecular graph and l1, l2, ..., ln are its eigenvalues, then the energy of G is equal to E(G) = |l1| + |l2| + ... + |ln|. This energy cannot exceed the value . The graph G is said to be hyperenergetic if E(G) >> 2n - 2.
IVAN GUTMAN   +3 more
doaj  

On Laplacian-energy-like invariant and incidence energy [PDF]

open access: yesInternational Journal of Group Theory, 2015
For a simple connected graph G with n -vertices having Laplacian eigenvalues‎ ‎μ 1 ‎, ‎μ 2 ‎, ‎… ‎, ‎μ n−1 ‎, ‎μ n =0 ‎, ‎and signless Laplacian eigenvalues q 1 ‎,‎q 2 ,…‎,‎q n ‎, ‎the Laplacian-energy-like invariant(LEL ) and the incidence energy ...
Shariefuddin Pirzada , Hilal A. Ganie
doaj  

Mobius Energy of Graphs

open access: yesMathematical Notes, 2006
In the present paper we introduce Mobius energy for the embedded graphs and formulate its main properties. This energy is invariant under the action of the group generated by all inversions in three-dimensional real space. We study critical configurations for the angles at vertices of degree less than five, and discuss the techniques of construction of
openaire   +3 more sources

No Huckel graph is hyperenergetic [PDF]

open access: yesJournal of the Serbian Chemical Society, 2000
If G is a molecular graph with n vertices and if l1, l2, ..., ln are its eigenvalues, then the energy of G is equal to E(G) = |l1| + |l2|+ ... + |ln|. If E(G) > 2n – 2, then G is said to be hyperenergetic.
P. R. HAMPIHOLI   +4 more
doaj  

A Graph Neural Network for Predicting Energy and Stability of Known and Hypothetical Crystal Structures

open access: yes, 2021
The discovery of new inorganic materials in unexplored chemical spaces necessitates calculating total energy quickly and with sufficient accuracy.
Vladan, Stevanovic   +4 more
core   +1 more source

Graph Energies of Egocentric Networks and Their Correlation with Vertex Centrality Measures

open access: yesEntropy, 2018
Graph energy is the energy of the matrix representation of the graph, where the energy of a matrix is the sum of singular values of the matrix. Depending on the definition of a matrix, one can contemplate graph energy, Randić energy, Laplacian energy ...
Mikołaj Morzy, Tomasz Kajdanowicz
doaj   +1 more source

Energy-weighted message passing: an infra-red and collinear safe graph neural network algorithm

open access: yes, 2022
Hadronic signals of new-physics origin at the Large Hadron Collider can remain hidden within the copiously produced hadronic jets. Unveiling such signatures require highly performant deep-learning algorithms. We construct a class of Graph Neural Networks
Ngairangbam, Vishal S.   +2 more
core   +1 more source

More Equienergetic Signed Graphs [PDF]

open access: yesMathematics Interdisciplinary Research, 2017
The energy of signed graph is the sum of the absolute values of the eigenvalues of its adjacency matrix. Two signed graphs are said to be equienergetic if they have same energy.
Harishchandra S. ‎Ramane   +1 more
doaj   +1 more source

Inversion-based control of electromechanical systems using causal graphical descriptions [PDF]

open access: yes, 2006
Causal Ordering Graph and Energetic Macroscopic Representation are graphical descriptions to model electromechanical systems using integral causality. Inversion rules have been defined in order to deduce control structure step-bystep from these graphical
F. Giraud   +17 more
core   +1 more source

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