How do you detect fraud when less than one percent of your network’s users are bad actors? In this episode, SigOpt’s Head of Engineering Michael McCourt speaks with Venkatesh Ramanathan, a Director of Data Science at PayPal, about his work using Graph Neural Networks to detect fraud across large financial networks.

• 0:23 - Intro
• 3:08 - AI/ML at AOL
• 4:24 - The scale of data today
• 6:11 – The tradeoffs of accuracy and interpretability
• 7:54 - What are Graph Neural Networks?
• 9:18 - Robustness of GNNs; how they work with blockchain networks
• 10:57 - The need for robust hardware for GNNs
• 12:44 - How PayPal uses SigOpt for hyperparameter search
• 15:12 - The importance of sample efficiency
• 16:51 - What's next for Data Science at PayPal
• 20:52 - Opportunities for academia to power industry insights

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