Abstract: We present a novel technique—Compressed Adjacency Matrices—for visualizing gene regulatory networks. These directed networks have strong structural characteristics: out-degrees with a ...

Abstract: This paper proposes a compression framework for adjacency matrices of weighted graphs based on graph filter banks. Adjacency matrices are widely used mathematical representations of graphs ...

This project focuses on leveraging the NetworkX library to analyze and represent graphs using adjacency matrices and link lists. The main objectives of the project are as follows: 1- Construct the ...

Adjacency matrices are useful for storing pairwise interaction data, such as correlations between gene pairs in a pathway or similarities between genes and conditions. The aMatReader app enables users ...

This Plugin wants to build two types of numerical adjacency matrices that can be exported in CSV format for subsequent processing with other software. An adjacency matrix is a different way to ...

This article aims to explore the theoretical properties of topological descriptors used in fuzzy graph theory, which combines elements of graph theory and fuzzy set theory, within algebraic structures ...

This paper presents the practical applications of Laplacian and signless Laplacian spectra across various fields including theoretical chemistry, computer science, electrical engineering, and complex ...

Quantum computing is a novel computational paradigm that harnesses the fundamental principles of quantum mechanics to perform calculations. In comparison to classical computers, quantum computers can ...