IEEE

SRv6 and Zero-Trust Policy Enabled Graph Convolutional Neural Networks for Slicing Network Optimization

Abstract: With the rapid advancement of technologies such as B5G/6G and edge computing, network scenarios are becoming increasingly complex and diverse, leading to the emergence of slicing networks.
IEEE

Variational Quantum Circuits for Molecular Classification Using Graph Neural Network

Abstract: The study explores the integration of quantum-enhanced feature mapping and optimization within Graph Neural Networks (GNNs) for molecular classification tasks. Utilizing IBM's Qiskit ...