H.-Q. Zhang

Design and Optimization of a Personalized Resource Recommendation Engine Integrating Graph Neural Networks and Course Knowledge Graphs

The results demonstrate that combining graph-based knowledge representation with attention and contrastive learning effectively improves recommendation precision and personalization, offering a practical route for electromagnetic engineering learning-resource organization.