GNN
Term · Cybersecurity · MLC-T-CYB-001866
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.
| Identifier | MLC-T-CYB-001866 |
|---|---|
| Field | Cybersecurity |
| Expansions | graph neural network |
| References | NIST AI 100-2e2025; NIST CSRC Glossary |
Record as JSON
{
"id": "MLC-T-CYB-001866",
"term": "GNN",
"field": "Cybersecurity",
"definition": "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.",
"expansions": [
"graph neural network"
],
"references": [
"NIST AI 100-2e2025",
"NIST CSRC Glossary"
],
"url": "https://mlchart.com/terminology/cybersecurity/gnn/"
}
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