Transparent graph-quality assessment for knowledge graphs involves reporting precision, recall, and F1 scores for entity and relation extraction, alongside structural metrics such as average degree, edge density, clustering coefficient, and update latency.

Authors

• Person: Not available Organization: Nature
  The construction and refined extraction techniques of knowledge ...

Sources

• The construction and refined extraction techniques of knowledge ... www.nature.com Nature via serper

Referenced by nodes (1)

• knowledge graphs concept