Results 21 to 30 of about 30,707 (261)

Universal adjacency spectrum of zero divisor graph on the ring and its complement

open access: yesAKCE International Journal of Graphs and Combinatorics, 2021
For a commutative ring R with unity, the zero divisor graph is an undirected graph with all non-zero zero divisors of R as vertices and two distinct vertices u and v are adjacent if and only if uv = 0. For a simple graph G with the adjacency matrix A and
Saraswati Bajaj, Pratima Panigrahi
doaj   +1 more source

The bipartite Laplacian matrix of a nonsingular tree

open access: yesSpecial Matrices, 2023
For a bipartite graph, the complete adjacency matrix is not necessary to display its adjacency information. In 1985, Godsil used a smaller size matrix to represent this, known as the bipartite adjacency matrix.
Bapat Ravindra B.   +2 more
doaj   +1 more source

The Optimal Graph Whose Least Eigenvalue is Minimal among All Graphs via 1-2 Adjacency Matrix

open access: yesJournal of Mathematics, 2021
All graphs under consideration are finite, simple, connected, and undirected. Adjacency matrix of a graph G is 0,1 matrix A=aij=0, if vi=vj or  dvi,vj≥21, if  dvi,vj=1.. Here in this paper, we discussed new type of adjacency matrix known by 1-2 adjacency
Lubna Gul   +3 more
doaj   +1 more source

A binary biclustering algorithm based on the adjacency difference matrix for gene expression data analysis

open access: yesBMC Bioinformatics, 2022
Biclustering algorithm is an effective tool for processing gene expression datasets. There are two kinds of data matrices, binary data and non-binary data, which are processed by biclustering method.
He-Ming Chu   +5 more
doaj   +1 more source

The Kernel of the Adjacency Matrix of a Rectangular Mesh [PDF]

open access: yesDiscrete & Computational Geometry, 2002
Given an m x n rectangular mesh, its adjacency matrix A, having only integer entries, may be interpreted as a map between vector spaces over an arbitrary field K. We describe the kernel of A: it is a direct sum of two natural subspaces whose dimensions are equal to $\lceil c/2 \rceil$ and $\lfloor c/2 \rfloor$, where c = gcd (m+1,n+1) - 1. We show that
Carlos Tomei, Tania Vieira
openaire   +2 more sources

Adjacency Maps and Efficient Graph Algorithms

open access: yesAlgorithms, 2022
Graph algorithms that test adjacencies are usually implemented with an adjacency-matrix representation because the adjacency test takes constant time with adjacency matrices, but it takes linear time in the degree of the vertices with adjacency lists. In
Gabriel Valiente
doaj   +1 more source

TRACE OF THE ADJACENCY MATRIX n×n OF THE CYCLE GRAPH TO THE POWER OF TWO TO FIVE

open access: yesBarekeng, 2022
The main aim of this research is to find the formula of the trace of adjacency matrix  from a cycle graph to the power of two to five. To obtain the general form, the first step is finding the general formula of the adjacency matrix from a cycle graph ...
Fitri Aryani   +3 more
doaj   +1 more source

Cospectral Graphs and the Generalized Adjacency Matrix [PDF]

open access: yesSSRN Electronic Journal, 2006
Let \(J\) be the all-ones matrix, and let \(A\) denote the adjacency matrix of a graph. It is known that if two graphs are cospectral with respect to \(yJ-A\) for two distinct values of \(y\), then they are cospectral for all \(y\). In this paper the authors focus on \(\hat y\)-cospectral graphs, which are graphs cospectral with respect to \(yJ-A\) for
van Dam, ER, Haemers, WH, Koolen, JH
openaire   +9 more sources

Steganalysis by subtractive pixel adjacency matrix [PDF]

open access: yesProceedings of the 11th ACM workshop on Multimedia and security, 2009
This paper presents a method for detection of steganographic methods that embed in the spatial domain by adding a low-amplitude independent stego signal, an example of which is least significant bit (LSB) matching. First, arguments are provided for modeling the differences between adjacent pixels using first-order and second-order Markov chains ...
Tomás Pevný   +2 more
openaire   +1 more source

Graph Compression for Adjacency-Matrix Multiplication

open access: yesSN Computer Science, 2022
Abstract Computing the product of the (binary) adjacency matrix of a large graph with a real-valued vector is an important operation that lies at the heart of various graph analysis tasks, such as computing PageRank. In this paper, we show that some well-known webgraph and social graph compression formats are
Alexandre P. Francisco   +4 more
openaire   +2 more sources

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