5min chapter

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#71 - ZAK JOST (Graph Neural Networks + Geometric DL) [UNPLUGGED]

Machine Learning Street Talk (MLST)

CHAPTER

Transformers vs a G C?

In transformers, it is explicitly a quadratic term. And you achieve the permutation a in variance by looking at all the c tupples of the items in the setwar cicles too,. So you can think of transformers as being a graft learning problem. There might be intere ing a lessons we can learn from transformers that will make better genan architectures.

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