A Graph Attention Network Based System for Robust Analog Circuits’ Structure Recognition Involving a Novel Data Augmentation Technique-Reference-Cited by-同舟云学术

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A Graph Attention Network Based System for Robust Analog Circuits’ Structure Recognition Involving a Novel Data Augmentation Technique

Published:2024 Issue: Volume:12 Page:29308-29344
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Deeb Ali¹^ORCID,Salem Mohamed²^ORCID,Ibrahim Abdalrahman³^ORCID,Pichler Joachim²,Tkachov Sergii²,Anjeza Karaj²,Machot Fadi Al⁴^ORCID,Kyamakya Kyandoghere¹^ORCID

Affiliation:

1. Institute of Smart Systems Technologies, University of Klagenfurt, Klagenfurt, Austria

2. Infineon Technologies Austria, Villach, Austria

3. AGILOX Services GmbH, Neukirchen bei Lambach, Austria

4. Faculty of Science and Technology, Norwegian University of Life Sciences (NMBU), Ås, Norway

Funder

Infineon Technologies Austria

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10440102.pdf?arnumber=10440102

Reference50 articles.

1. A Review of Machine Learning Techniques in Analog Integrated Circuit Design Automation

2. Comprehensive Generation of Hierarchical Placement Rules for Analog Integrated Circuits

3. Machine learning based structure recognition in analog schematics for constraints generation;Patel;Mirror,2021

4. The sizing rules method for analog integrated circuit design

5. The Sizing Rules Method for CMOS and Bipolar Analog Integrated Circuit Synthesis

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