Neo4j Live Demo: Demystifying Graph Neural Networks

Have you heard about Graph Neural Networks (GNNs)? Are you interested in learning more before giving them a spin?

Join Zach Blumenfeld, Neo4j’s Data Science Product Specialist, for Demystifying Graph Neural Networks as he shows you all the basics of GNNs and how to model, train, and deploy practical graph ML.

In this 30-minute session you’ll learn:

  • What GNNs are and what they can do
  • How GNNs fit into the broader set of graph data science solutions
  • What to consider when evaluating use cases and designing ML approaches
  • How to get started on GNN and graph ML using real-world examples
David Allen
Technology Partner Architect, Neo4j

David Allen is Technology Partner Architect at Neo4j. He is a deeply technical generalist with experience in managing teams and driving towards complex goals. The most fun he has had in his career is when he is learning something new, or trying to figure out how to do something that hasn’t been done before.

 
When not trying to improve something technical, you can usually find David playing guitar or cycling. He loves meeting new people, and has a very keen interest in language and culture and loves to find common ground with other people through travel and music.

Jaime D'Anna
Partner Technical Marketing, Neo4j

Jaime is from the Technology Partner team at Neo4j, with a seasoned career successfully executing channel and product campaigns across industries, geographies and technologies. He has “led the charge” for a number of SaaS, Advanced Analytics and AI solutions from start-ups to larger Enterprise Fortune 200 companies, such as IBM, Oracle and EMC among others. As a graduate of Santa Clara University, Jaime applies his technical, market and industry knowledge enabling today’s organizations to benefit from best-in-class solutions and optimized outcomes from their data.

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