Biomedical Multi-hop Question Answering Using Knowledge Graph Embeddings and Language Models

Understand

Biomedical knowledge graphs (KG) are heterogenous networks consisting of biological entities as nodes and relations between them as edges.

• These entities and relations are extracted from millions of research papers and unified in a single resource.
• The goal of biomedical multi-hop question-answering over knowledge graph (KGQA) is to help biologist and scientist to get valuable insights by asking questions in natural language.
• Relevant answers can be found by first understanding the question and then querying the KG for right set of nodes and relationships to arrive at an answer.