Results 1 to 10 of about 88,228 (240)

Some New Bounds for α-Adjacency Energy of Graphs

open access: yesMathematics, 2023
Let G be a graph with the adjacency matrix A(G), and let D(G) be the diagonal matrix of the degrees of G. Nikiforov first defined the matrix Aα(G) as Aα(G)=αD(G)+(1−α)A(G), 0≤α≤1, which shed new light on A(G) and Q(G)=D(G)+A(G), and yielded some ...
Haixia Zhang, Zhuolin Zhang
doaj   +2 more sources

On α-adjacency energy of graphs and Zagreb index [PDF]

open access: yesAKCE International Journal of Graphs and Combinatorics, 2021
Let A(G) be the adjacency matrix and D(G) be the diagonal matrix of the vertex degrees of a simple connected graph G. Nikiforov defined the matrix of the convex combinations of D(G) and A(G) as for If are the eigenvalues of (which we call α-adjacency ...
S. Pirzada   +3 more
doaj   +2 more sources

On the Generalized Adjacency Spread of a Graph

open access: yesMathematics, 2023
For a simple finite graph G, the generalized adjacency matrix is defined as Aα(G)=αD(G)+(1−α)A(G),α∈[0,1], where A(G) and D(G) are respectively the adjacency matrix and diagonal matrix of the vertex degrees.
Maryam Baghipur   +3 more
doaj   +2 more sources

The gamma-Signless Laplacian Adjacency Matrix of Mixed Graphs

open access: yesTheory and Applications of Graphs, 2023
The α-Hermitian adjacency matrix Hα of a mixed graph X has been recently introduced. It is a generalization of the adjacency matrix of unoriented graphs. In this paper, we consider a special case of the complex number α.
Omar Alomari   +2 more
doaj   +1 more source

Centerless Multi-View K-means Based on the Adjacency Matrix

open access: yesAAAI Conference on Artificial Intelligence, 2023
Although K-Means clustering has been widely studied due to its simplicity, these methods still have the following fatal drawbacks. Firstly, they need to initialize the cluster centers, which causes unstable clustering performance.
Han Lu   +4 more
semanticscholar   +1 more source

A Note on the Estrada Index of the Aα-Matrix

open access: yesMathematics, 2021
Let G be a graph on n vertices. The Estrada index of G is an invariant that is calculated from the eigenvalues of the adjacency matrix of a graph. V. Nikiforov studied hybrids of A(G) and D(G) and defined the Aα-matrix for every real α∈[0,1] as: Aα(G)=αD(
Jonnathan Rodríguez, Hans Nina
doaj   +1 more source

Graceful labeling construction for some special tree graph using adjacency matrix

open access: yesElectronic Journal of Graph Theory and Applications, 2023
In 1967, Rosa introduced β − labeling which was then popularized by Golomb under the name graceful. Graceful labeling on a graph G is an injective function f : V ( G ) → { 0 , 1 , 2 , . . .
Nikson Simarmata   +2 more
semanticscholar   +1 more source

Extremal Problems for Graphical Function-Indices and f-Weighted Adjacency Matrix

open access: yesDiscrete Mathematics Letters, 2022
Let f(x, y) (f(x)) be a symmetric real function (real function) and G = (V,E) be a graph. Denote by di the degree of a vertex i in G. The graphical function-index TIf (G) (Hf (G)) of G with edge-weight (vertex-weight) function f(x, y) (f(x)) is defined ...
Xueliang Li, Danni Peng
semanticscholar   +1 more source

General Zagreb Adjacency Matrix

open access: yesContributions to Mathematics, 2022
Let A ( G ) and D ( G ) be the adjacency matrix and the degree diagonal matrix of a graph G , respectively. For any real number α , the general Zagreb adjacency matrix of G is defined as Z α ( G ) = D α ( G )+ A ( G ) .
Zhen Lin
semanticscholar   +1 more source

$ A_{\alpha} $ matrix of commuting graphs of non-abelian groups

open access: yesAIMS Mathematics, 2022
For a finite group $ \mathcal{G} $ and a subset $ X\neq \emptyset $ of $ \mathcal{G} $, the commuting graph, indicated by $ G = \mathcal{C}(\mathcal{G}, X) $, is the simple connected graph with vertex set $ X $ and two distinct vertices $ x $ and $ y $
Bilal A. Rather   +5 more
doaj   +1 more source

Home - About - Disclaimer - Privacy