Results 31 to 40 of about 2,949,927 (358)
Universal adjacency spectrum of zero divisor graph on the ring and its complement
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
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A Note on the Estrada Index of the Aα-Matrix
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
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A directed graph can be represented by several matrix representations, such as the anti-adjacency matrix. This paper discusses the general form of characteristic polynomial and eigenvaluesof the anti-adjacencymatrix of directed unicyclic corona graph ...
N. Hasyyati, K. Sugeng, S. Aminah
semanticscholar +1 more source
When Can Matrix Query Languages Discern Matrices? [PDF]
We investigate when two graphs, represented by their adjacency matrices, can be distinguished by means of sentences formed in MATLANG, a matrix query language which supports a number of elementary linear algebra operators.
Geerts, Floris
core +1 more source
The bipartite Laplacian matrix of a nonsingular tree
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
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Steganalysis by subtractive pixel adjacency matrix [PDF]
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 ...
Tomáš Pevny +2 more
openaire +1 more source
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
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Wasserstein metric for improved quantum machine learning with adjacency matrix representations [PDF]
We study the Wasserstein metric to measure distances between molecules represented by the atom index dependent adjacency ‘Coulomb’ matrix, used in kernel ridge regression based supervised learning. Resulting machine learning models of quantum properties,
O. Çaylak +3 more
semanticscholar +1 more source
Adjacency Maps and Efficient Graph Algorithms
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
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Social Network of Faculties According to Student Preferences in Transition to Higher Education
In social network analysis, the studies on weighted adjacency matrix of nodes are increasing day by day. In thispaper, a method is proposed by including node properties to neighbourhood matrix, in order to see the structures of weightedadjacency matrix ...
Güneş Mutlu, Ahmet Mete Çilingirtürk
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