Home › Entities › academia › ReIGNN: State Register Identification Using Graph Neural Networks for Circuit Reverse Engineering

ReIGNN: State Register Identification Using Graph Neural Networks for Circuit Reverse Engineering

Research article (2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD), 2021) · cited 26× · AI/ML
academia openalex:W3216472574
Press Enter · cited answer in seconds

ReIGNN: State Register Identification Using Graph Neural Networks for Circuit Reverse Engineering

Summary

ReIGNN: State Register Identification Using Graph Neural Networks for Circuit Reverse Engineering is a scholarly article[1].

Key Facts

  • ReIGNN: State Register Identification Using Graph Neural Networks for Circuit Reverse Engineering'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). ReIGNN: State Register Identification Using Graph Neural Networks for Circuit Reverse Engineering. Retrieved May 24, 2026, from https://4ort.xyz/entity/reignn-state-register-identification-using-graph-neural-networks-for-circuit-reverse-engineering
MLA “ReIGNN: State Register Identification Using Graph Neural Networks for Circuit Reverse Engineering.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/reignn-state-register-identification-using-graph-neural-networks-for-circuit-reverse-engineering.
BibTeX @misc{4ortxyz_reignn-state-register-identification-using-graph-neural-networks-for-circuit-reverse-engineering_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{ReIGNN: State Register Identification Using Graph Neural Networks for Circuit Reverse Engineering}}, year = {2026}, url = {https://4ort.xyz/entity/reignn-state-register-identification-using-graph-neural-networks-for-circuit-reverse-engineering}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): ReIGNN: State Register Identification Using Graph Neural Networks for Circuit Reverse Engineering — https://4ort.xyz/entity/reignn-state-register-identification-using-graph-neural-networks-for-circuit-reverse-engineering (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/reignn-state-register-identification-using-graph-neural-networks-for-circuit-reverse-engineering · Last refreshed: