Home › Entities › academia › A Novel Feature Extraction Framework Using Graph Node Attention Network for In-Vehicle Networks Intrusion Detection

A Novel Feature Extraction Framework Using Graph Node Attention Network for In-Vehicle Networks Intrusion Detection

Research article (IEEE Systems Journal, 2024) · cited 11× · AI/ML
academia openalex:W4390660093
Press Enter · cited answer in seconds

A Novel Feature Extraction Framework Using Graph Node Attention Network for In-Vehicle Networks Intrusion Detection

Summary

A Novel Feature Extraction Framework Using Graph Node Attention Network for In-Vehicle Networks Intrusion Detection is a scholarly article[1].

Key Facts

  • A Novel Feature Extraction Framework Using Graph Node Attention Network for In-Vehicle Networks Intrusion Detection's instance of is recorded as scholarly article[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). A Novel Feature Extraction Framework Using Graph Node Attention Network for In-Vehicle Networks Intrusion Detection. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-novel-feature-extraction-framework-using-graph-node-attention-network-for-in-vehicle-networks-intrusion-detection
MLA “A Novel Feature Extraction Framework Using Graph Node Attention Network for In-Vehicle Networks Intrusion Detection.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-novel-feature-extraction-framework-using-graph-node-attention-network-for-in-vehicle-networks-intrusion-detection.
BibTeX @misc{4ortxyz_a-novel-feature-extraction-framework-using-graph-node-attention-network-for-in-vehicle-networks-intrusion-detection_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Novel Feature Extraction Framework Using Graph Node Attention Network for In-Vehicle Networks Intrusion Detection}}, year = {2026}, url = {https://4ort.xyz/entity/a-novel-feature-extraction-framework-using-graph-node-attention-network-for-in-vehicle-networks-intrusion-detection}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A Novel Feature Extraction Framework Using Graph Node Attention Network for In-Vehicle Networks Intrusion Detection — https://4ort.xyz/entity/a-novel-feature-extraction-framework-using-graph-node-attention-network-for-in-vehicle-networks-intrusion-detection (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/a-novel-feature-extraction-framework-using-graph-node-attention-network-for-in-vehicle-networks-intrusion-detection · Last refreshed: