The Annals of Applied Probability, Vol. 20, No. 6 (December 2010), pp. 2086-2117 (32 pages) In this paper, we investigate the spectral properties of the adjacency and the Laplacian matrices of random ...

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 ...

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 ...

An implementation of data structures and algorithms in C, including intrusive linked list, generic vector, hash table, index priority queue, adjacency list representation of graph, and so on. This ...

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 ...