IEEE

Graph Neural Network for Access and Resource Allocation in Terrestrial-Satellite Networks

Abstract: Mega-constellation networks of low Earth orbit (LEO) satellites are poised to become an integral part of future 6G networks. Satellite infrastructures can provide Internet access services to ...

Zhongqi Zhu Addresses Key Challenges in Vector Database and AI Technology Integration

A study on vector database and AI integration identifies unstable indexing, weak cross-modal fusion, and rigid resource ...
GitHub

bARGE - boosted Azure Resource Graph Explorer

bARGE is a Visual Studio Code extension that brings Azure Resource Graph querying capabilities with KQL directly to your development environment, similar to the Azure Portal's Resource Graph Explorer.
IEEE

Deep Learning-Based Graph Neural Networks for Large-Scale Wireless Network Topology Optimization and Dynamic Resource Allocation

Abstract: Graph Neural Networks (GNNs) are inherently capable of modeling interactions dependent on network topology and generalizing to various network sizes through shared layer parameters.