GoR, as described by Zhang et al. (2024b), optimizes node embeddings during graph indexing by leveraging GNN and BERT score-based objectives to address the complexity of creating vector indexes from long-range facts.

Authors

• Person: Not available Organization: arXiv
  Large Language Models Meet Knowledge Graphs for Question ...

Sources

• Large Language Models Meet Knowledge Graphs for Question ... arxiv.org arXiv via serper

Referenced by nodes (2)

• graph neural networks concept
• BERT concept