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GlossaryDeep LearningGraph Neural Networks

Graph Neural Networks

[græf ˈnjʊrəl ˈnɛtˌwɜrks]
Deep Learning
Last updated: December 9, 2024

Definition

Neural networks designed to process data represented as graphs.

Detailed Explanation

GNNs extend deep learning to graph-structured data by operating on nodes edges and graph features. They use message passing between nodes to learn representations of graph structures and their properties.

Use Cases

Social network analysis Molecular structure prediction Traffic flow prediction

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