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 webinar 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

Zach Blumenfeld
Product Specialist, Graph Data Science

Zach Blumenfeld is a Data Science Product Specialist at Neo4j. He helps empower the field with Neo4j’s industry-leading graph data science capabilities. Zach is a graph enthusiast who helps data scientists, engineers, and business leaders understand and implement graph analytics to solve challenging business problems. He has first-hand experience with a wide range of modern-day analytical challenges, including criminal fraud detection, identity resolution, and recommendation systems. Serving in both data science and software developer capacities, Zach has applied graph computing to law enforcement and government entities in support of missions that counter drug trafficking, human smuggling, money laundering, and child exploitation. He has led the development and deployment of full-stack graph systems designed to facilitate broad search and analytical query requirements.

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