Multimodal University Academic Performance Prediction Model Based on Heterogeneous Graph Neural Networks
A Heterogeneous Graph Network for Multimodal Student Performance Prediction (HGN‐MSP) model, which integrates the three modalities of grades, behavior, and resources to construct a campus knowledge graph and a meta‐path‐guided feature aggregation mechanism is designed to achieve cross‐modal semantic alignment.