Welcome to the Python project containing exercises from the Graph Algorithms course. This project consists of 7 exercises covering various aspects of graph algorithms. Functions for converting graph ...

For every vertex, its adjacent vertices are stored. In the case of a weighted graph, the edge weights are stored along with the vertices. The row and column indices represent the vertices: matrix[i][j ...

Abstract: We give some new results on the rank of the incidence matrix of a graph when calculations are done over the real numbers and in the Boolean algebra with two elements.

ABSTRACT: Graph realization from a matrix is an important topic in network topology. This paper presents an algorithm for the realization of a linear tree based on the study of the properties of the ...

Graph Data Modeling in Python will guide you through designing, implementing, and harnessing a variety of graph data models using the popular open source Python libraries NetworkX and igraph.