Graph Neural Networks

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• Matej Balog (University of Cambridge)
• Wednesday 14 November 2018, 14:00-15:30
• Engineering Department, CBL Room 438.

If you have a question about this talk, please contact Robert Pinsler.

Graph neural networks are emerging as a powerful tool for modeling program source code, chemical molecules, social networks, and other types of graph-structured data. This reading group will start with a basic explanation of what graph neural networks are, and how one uses them in general. We will then discuss a couple of applications, including variable misuse in program source code as well as “solving” several NP-hard problems.

This talk is part of the Machine Learning Reading Group @ CUED series.

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