Using knowledge graphs in drug discovery (Part 1): how they link to large language models

Using knowledge graphs in drug discovery (Part 1): how they link to large language models

In this first interview of a two-part series, Andreas Kolleger explores the convergence of knowledge graphs and large language models. As the head of GenAI innovation at Neo4j, Andreas brings a unique cross-industry perspective on how these technologies can enhance life sciences workflows.

Read more: https://www.drugtargetreview.com/article/159734/using-knowledge-graphs-in-drug-discovery-part-1-how-they-link-to-large-language-models/  

Keywords:  Generative AI • Knowledge Graph • Large Language Models • Life Sciences • Thought Leadership