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GNN

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**GNN**

What is GNN?

Graph Neural Networks (GNNs) are a class of neural networks designed for processing data represented as graphs. They learn node embeddings by aggregating information from a node's neighbors, allowing them to perform tasks such as node classification, link prediction, and graph classification. GNNs are commonly used in social network analysis, drug discovery, and recommender systems.

What other technologies are related to GNN?

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