Graph neural networks

Graph neural networks (GNNs)                               Machine Learning

noun phrase (plural)

Definition: Neural-network models designed to learn from graph-structured data by propagating and aggregating information over nodes and edges [Wu et al. 2020].

Example in context: “Prediction and classification tasks in graph-based systems can be tackled with graph neural networks (GNNs).” [Lakzaei et al. 2024]

Synonym: GNNs

Related terms: graph representation learning, message passing neural networks

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