
#85 Dr. Petar Veličković (Deepmind) - Categories, Graphs, Reasoning [NEURIPS22 UNPLUGGED]
Machine Learning Street Talk (MLST)
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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