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Bounds on graph energy and Randic energy
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.
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More hyperenergetic molecular graphs [PDF]
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]
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
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
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No Huckel graph is hyperenergetic [PDF]
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
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The discovery of new inorganic materials in unexplored chemical spaces necessitates calculating total energy quickly and with sufficient accuracy.
Vladan, Stevanovic +4 more
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Graph Energies of Egocentric Networks and Their Correlation with Vertex Centrality Measures
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
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Energy-weighted message passing: an infra-red and collinear safe graph neural network algorithm
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
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More Equienergetic Signed Graphs [PDF]
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
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Inversion-based control of electromechanical systems using causal graphical descriptions [PDF]
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
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