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DeepGate2: Functionality-Aware Circuit Representation Learning

Research article (2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD), 2023) · cited 36× · AI/ML
academia openalex:W4389166679
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DeepGate2: Functionality-Aware Circuit Representation Learning

Summary

DeepGate2: Functionality-Aware Circuit Representation Learning is a scholarly article[1].

Key Facts

  • DeepGate2: Functionality-Aware Circuit Representation Learning's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). DeepGate2: Functionality-Aware Circuit Representation Learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/deepgate2-functionality-aware-circuit-representation-learning
MLA “DeepGate2: Functionality-Aware Circuit Representation Learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deepgate2-functionality-aware-circuit-representation-learning.
BibTeX @misc{4ortxyz_deepgate2-functionality-aware-circuit-representation-learning_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{DeepGate2: Functionality-Aware Circuit Representation Learning}}, year = {2026}, url = {https://4ort.xyz/entity/deepgate2-functionality-aware-circuit-representation-learning}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): DeepGate2: Functionality-Aware Circuit Representation Learning — https://4ort.xyz/entity/deepgate2-functionality-aware-circuit-representation-learning (retrieved 2026-05-24)

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