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Globality vs Locality - Capturing Information at Different Scales in Retail Graph Networks

Data Science Festival via YouTube

Overview

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Explore how Graph Neural Networks revolutionize retail data science by uncovering multi-scale patterns in transactional data in this 54-minute conference talk. Discover how GNNs interpret transactional data differently from traditional methods, revealing the compelling interplay between local patterns and global structures within graph networks. Learn about the challenges of capturing rich, meaningful information at scale and understand how multi-scale insights can enrich models to better reflect the underlying complexity of retail customer behavior. Examine the intricate web of relationships hidden in retail data and gain insights into how these advanced modeling approaches can help understand customer behavior patterns beyond conventional analysis methods.

Syllabus

Globality vs Locality: Capturing Information at Different Scales in Retail Graph Networks

Taught by

Data Science Festival

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