Models such as KEPLER and Pretrain-KGE use BERT-like LLMs to encode textual descriptions of entities and relationships into vector representations, which are then fine-tuned on KG-related tasks.

Authors

• Person: Not available Organization: Springer
  A survey on augmenting knowledge graphs (KGs) with large ...

Sources

• A survey on augmenting knowledge graphs (KGs) with large ... link.springer.com Springer via serper

Referenced by nodes (4)

• Large Language Models concept
• BERT concept
• entities concept
• relationships concept