Session Outline

Large Language models are amazing, but are also black-box models that often fail to capture and accurately represent factual knowledge. Knowledge graphs, by contrast, are structural knowledge models that explicitly represent knowledge and indeed allow us to detect implicit relationships. In this talk we will demonstrate how LLMs can be improved by Knowledge Graphs, and how LLMs can augment Knowledge Graphs. A perfect couple!

Key Takeaways

  • How Knowledge Graphs Grow
  • How LLM’s are your front-end to Knowledge Graphs
  • How Knowledge Graphs can enhance LLMs
  • How LLMs enhance Knowledge Graphs


Speaker Bio

Kristof Neys – Director Graph Data Science | Neo4j

Kristof is Director Graph Data Science Technology in the Field Engineering team at Neo4j, the leading graph technology platform, where he advises on and implements graph data science solutions for Neo4j’s clients. He is also currently pursuing a PhD in Graph Machine Learning at the University of London, Birkbeck. Kristof holds a MSc in Mathematics and a MSc in Data Science from the University of London. Prior to joining Neo4j Kristof had a 20 year career in Fixed Income Sales & Trading at some of the major investment banks in London.

October 25 @ 14:30
14:30 — 14:50 (20′)

Day 1 | 25 Oct 2023 | Plenum

Kristof Neys – Director Graph Data Science | Neo4j