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.
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