Abstract: Cognitive radio (CR) facilitates efficient spectrum management and optimization in wireless networks with massive wireless access and data transmission demands, where spectrum sensing is a ...

Cluster each graph in K = 4 clusters with the spectral and the k-means method. Plot all of your results and describe the differences that you can see in the output of the 2 different algorithms and ...

Abstract: Graph spectral filtering relies on a representation matrix to define the frequency-domain transformations. Conventional approaches use fixed graph representations, which limit their ...

This class will cover material from three areas: Spectral Graph Theory, Numerical Linear Algebra, and Biomedical Applications. The central issue in spectral graph theory is understanding, estimating, ...

The recent works proposing transformer-based models for graphs have proven the inadequacy of Vanilla Transformer for graph representation learning. To understand this inadequacy, there is a need to ...

This project is dedicated to the study of spectral properties of graphs on Calabi–Yau (CY) manifolds. The central hypothesis is that as the number of discretization ...

Department of Mathematics and Statistics, Qinghai Minzu University, Xining, China. Since then, much attention has been paid to this topic, but they mainly focus on undirected graphs and integral trees ...

For 0 ≤ α ≤ 1, Nikiforov proposed to study the spectral properties of the family of matrices Aα(G) = αD(G)+(1−α)A(G) of a graph G, where D(G) is the degree diagonal matrix and A(G) is the adjacency ...