1) A topology searching algorithm suitable for M-HCBs is proposed, which is different from the existing topology construction methods. 2) The concept of ‘roadblock’ is proposed and used to simplify ...

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 and are ...

Xue Ding, Tiefeng Jiang, SPECTRAL DISTRIBUTIONS OF ADJACENCY AND LAPLACIAN MATRICES OF RANDOM GRAPHS, The Annals of Applied Probability, Vol. 20, No. 6 (December 2010), pp. 2086-2117 ...

Files Included Graph.hpp: Header file containing the implementation of the Graph class, which represents a graph using an adjacency matrix. Algorithms.hpp: Header file containing the declaration of ...

Denote by GS the graph obtained from the graph G by adding a new vertex x which is adjacent exactly to the vertices from S. In this paper, using the formal product and the so-called generalized ...

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.

Dynamic Adjacency Matrix Learning and Multi-Order Random Walk Aggregation for Alzheimer’s Disease Diagnosis From Resting-State fMRI Alzheimer’s disease (AD) is a progressive, irreversible ...