Neural network-based methods for knowledge graph embeddings employ deep learning to represent triplets, with representative works including SME, ConvKB, and R-GCN (Dai et al. 2020a).

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 (4)

• artificial neural networks concept
• deep learning concept
• knowledge graph embeddings concept
• triplets concept