Initially, this study introduces a spatial partitioning method based on Voronoi diagrams, grounded on the geographic ... Subsequently, the study employs a GCN (Graph Convolutional Network) and ...

Abstract: To address the conflict between the limited availability of spectrum resources and the swiftly growing number of frequency equipment in the Internet of Vehicles, this article starts from the ...

Our goal is to showcase how graph-based models, including graph convolutional networks, temporal graph networks, and attention-based frameworks, can transform the way anomalies are identified, ...