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Chemistry and Graph Neural Networks - Lecture 14

Manolis Kellis via YouTube

Overview

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Explore the applications of Graph Neural Networks (GNNs) in chemistry through this 77-minute lecture that delves into how these advanced machine learning architectures can be leveraged to understand molecular structures, predict chemical properties, and analyze complex chemical interactions.

Syllabus

Lecture14 Chemistry GNNs

Taught by

Manolis Kellis

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