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 ...

Abstract: Coloring a graph is a known and a classical problem in graph theory. It is also a known NP problem. In a graph G, the solution of coloring a graph is about coloring all the vertices of the ...

This project implements a graph data structure using an adjacency matrix. It allows users to create, modify, and analyze graphs, including running algorithms like Dijkstra's for shortest paths and ...

Let G be a graph, A(G) be the adjacency matrix of G, and λ(G) the least eigenvalue of A(G). Information is given about the following three quantities: $\lambda_R(G ...

This project provides a simple implementation of a weighted undirected graph using adjacency linked lists, designed to efficiently handle sparse graphs. It includes several classic graph algorithms ...