graph neural network

{
  "id": "MLC-T-CYB-001877",
  "term": "graph neural network",
  "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.",
  "abbreviation": "GNN",
  "references": [
    "NIST AI 100-2e2025",
    "NIST CSRC Glossary"
  ],
  "url": "https://mlchart.com/terminology/cybersecurity/graph-neural-network/"
}