Circuit2Graph: Circuits With Graph Neural Networks

Circuit2Graph: Circuits With Graph Neural Networks

Circuit design requires trial and error in both prototyping and simulation owing to the high degrees of freedom and mutual interference between the components. In this study, we propose a novel approach to address this challenge by introducing a transformation method that converts circuits into grap...

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Bibliographic Details
Main Authors: Yusuke Yamakaji, Hayaru Shouno, Kunihiko Fukushima
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Circuit
graph neural network
ground node
homogeneous graph
one-hot embedding
star graph
Online Access:https://ieeexplore.ieee.org/document/10494518/

Internet

https://ieeexplore.ieee.org/document/10494518/

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