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 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, ...

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 ...

Spectral graph theory is a branch of mathematics that studies the relationships between the eigenvectors and eigenvalues of Laplacian and adjacency matrices and their associated graphs. The ...

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 ...

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 ...

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 ...

Abstract: The underlay access mode in dynamic spectrum access (DSA) systems permits secondary users to transmit concurrently with the primary user, provided that the cumulative interference imposed on ...

Background: Alzheimer’s disease (AD) requires early intervention at preclinical stages like subjective memory complaints (SMC). Traditional static brain network analyses lack sensitivity to detect ...