Message Passing Insights
Tim discusses the power of linear algebra in local message passing, while Zach delves into the significance of pairwise interactions in modeling systems. The conversation touches on the challenges of distinguishing closed triangles in fraud detection and explores the balance between expressive power and practicality in training GNNS.In this clip
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Machine Learning Street Talk (MLST)
#71 - ZAK JOST (Graph Neural Networks + Geometric DL) [UNPLUGGED]
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