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#85 Dr. Petar Veličković (Deepmind) - Categories, Graphs, Reasoning [NEURIPS22 UNPLUGGED]

Machine Learning Street Talk (MLST)

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Innovations in Graph Neural Networks

This chapter explores advanced machine learning concepts, focusing on expander graphs and their application in addressing the over-squashing problem in graph neural networks. The discussion highlights innovative techniques for efficient information propagation and insights from a self-supervised learning workshop, bridging multiple fields of expertise.

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