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 ...

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 ...

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 ...

This project is part of the System Programming 2 course assignment at Ariel University. The task involves implementing various graph algorithms and data structures. Graph.hpp: Header file containing ...