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GNN

Abbreviations / Acronyms / Synonyms:

graph neural network

Definitions:

  A neural network designed to process graph-structured data. GNNs perform optimizable transformations on graph attributes (e.g., nodes, edges, global context) while preserving graph symmetries such as permutation invariance. GNNs utilize a “graph-in, graph-out” architecture that takes an input graph with informa­tion and progressively transforms it into an output graph with the same connec­tivity as that of the input graph.
Sources:
NIST AI 100-2e2025 under graph neural network