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Author

Olaniyan Deborah

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Open access Aug 2026

Towards explainable knowledge tracing through meta-path-free heterogeneous graph learning with large language models

HG-KT (Meta-path-free Heterogeneous Graph Knowledge Tracing), an explainable framework that integrates a meta-path-free heterogeneous graph encoder, Transformer-based temporal modeling, and pretrained Llama 3 8B semantic embeddings through a joint cross-modal attention mechanism, is proposed.

Olaniyan Deborah, Wario Ruth · 1 citation

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