Diachronic semantic encoding based on pre-trained language model for temporal knowledge graph reasoning
Abstract: Highlights•Address the problem of lack of semantic awareness in traditional GNN-based models.•Introduce pre-trained language models to enhance the understanding of historical facts.•Use the semantic encoding information of entities and relations as the initial input.
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