Lin et al. (2020) presented an end-to-end framework called KGNN (Knowledge Graph Neural Network) for drug-drug interaction prediction, which mines relations between drugs and their potential neighborhoods in medical knowledge graphs by aggregating neighborhood information from local receptive entities to extract semantic relations and high-order structures.

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 (1)

• Medical Knowledge Graph concept