Comparison
13 contributions
Exploring Large Language Models augmented Knowledge Graph Completion Methods
Knowledge Graph Completion (KGC) infers missing facts in a given knowledge graph. Integration of large language models enables Knowledge Graph Completion methods to generate facts or encode the text for improving the performance. This comparison compares different LLM-augmented Knowledge Graph Completion methods.
Comparison update
ORKG Comparisons have changed. We have added new features and improved the user interface. Comparisons might look slightly different, but the comparison data itself remains unchanged.References
- Pan, S., Luo, L., Wang, Y., Chen, C., Wang, J., & Wu, X. (2023). Unifying Large Language Models and Knowledge Graphs: A Roadmap. arXiv preprint arXiv:2306.08302.