DeepGate2: Functionality-Aware Circuit Representation Learning

Circuit representation learning aims to obtain neural repre-sentations of circuit elements and has emerged as a promising research direction that can be applied to various EDA and logic reasoning tasks. Existing solutions, such as DeepGate, have the potential to embed both circuit structural informa...

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Bibliographische Detailangaben

Veröffentlicht in:	Digest of technical papers - IEEE/ACM International Conference on Computer-Aided Design S. 1 - 9
Hauptverfasser:	Shi, Zhengyuan, Pan, Hongyang, Khan, Sadaf, Li, Min, Liu, Yi, Huang, Junhua, Zhen, Hui-Ling, Yuan, Mingxuan, Chu, Zhufei, Xu, Qiang
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 28.10.2023
Schlagworte:	Computational modeling Design automation Graph neural networks Logic gates Predictive models Representation learning Training
ISSN:	1558-2434
Online-Zugang:	Volltext
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