Companion Animal Disease Diagnostics Based on Literal-Aware Medical Knowledge Graph Representation Learning
Knowledge graph (KG) embedding has been used to benefit the diagnosis of animal diseases by analyzing electronic medical records (EMRs), such as notes and veterinary records.However, learning representations to capture entities and relations with literal information in KGs is challenging as the KGs show heterogeneous properties and various types of