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Graph Neural Networks (GNNs)

Networks that operate on graphs by passing messages between connected nodes, so a node's representation absorbs its neighborhood. Where CNNs assume a grid and transformers assume a sequence, GNNs assume relationships, which is what fraud rings, molecules, and social networks actually are.

Key terms

Message passingNode embeddingsGraph convolutionAggregationLink prediction

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Where you meet it in the real world

Fraud detection, drug discovery, recommendation graphs, traffic prediction, chip placement

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