Knowledge graph completion models train machine learning models on existing graphs to assess the plausibility of new candidate triplets and add those with high plausibility to the graph.

Authors

• Person: Not available Organization: Springer
  Knowledge Graphs: Opportunities and Challenges - Springer Nature

Sources

• Knowledge Graphs: Opportunities and Challenges - Springer Nature link.springer.com Springer via serper

Referenced by nodes (3)

• Knowledge Graph completion concept
• triplets concept
• machine learning models concept