LLM-based knowledge graph completion methods, such as the sequence-to-sequence model GenKGC and the text-graph hybrid model MADLINK, require exhaustive text processing and candidate scoring, resulting in high computational costs for large knowledge graphs.

Authors

• Person: Not available Organization: Frontiers
  Practices, opportunities and challenges in the fusion of knowledge ...

Sources

• Practices, opportunities and challenges in the fusion of knowledge ... www.frontiersin.org Frontiers via serper

Referenced by nodes (1)

• knowledge graphs concept