R-GCN, introduced by Schlichtkrull et al. in 2018, is an improvement of graph neural networks (GNNs) that represents knowledge graphs by providing relation-specific transformations.

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 graphs concept
• graph neural networks concept