TGL-LLM combines temporal graph embeddings with LLM tokenization and two-stage fine-tuning, achieving higher multiple-choice forecasting accuracy than existing TKGF baselines.
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Integrate Temporal Graph Learning into LLM-based Temporal Knowledge Graph Model
TGL-LLM combines temporal graph embeddings with LLM tokenization and two-stage fine-tuning, achieving higher multiple-choice forecasting accuracy than existing TKGF baselines.