Graph Neural Networks
Zach explains how Graph Neural Networks (GNNs) operate similarly to the one wl test, using neural networks for information processing. GNNs aggregate neighborhood information with an aggregation scheme for permutation invariance. The one wl test provides a definitive answer when graphs fail the test, indicating non-isomorphism.In this clip
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Machine Learning Street Talk (MLST)
#71 - ZAK JOST (Graph Neural Networks + Geometric DL) [UNPLUGGED]
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