Knowledge graph embedding maps entities and relations into a low-dimensional vector space to efficiently capture the semantics and structure of the graph, allowing the resulting feature vectors to be learned by machine learning models (Dai et al. 2020b).

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 (2)

• knowledge graph embeddings concept
• machine learning concept