Multimodal University Academic Performance Prediction Model Based on Heterogeneous Graph Neural Networks
University academic performance prediction faces three major challenges: difficulty in semantic alignment of multisource heterogeneous data, sparse graph structure, and modality imbalance. To address this, this paper proposes a Heterogeneous Graph Network for Multimodal Student Performance Prediction (HGN‐MSP) model. F...