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2203.15913
Cited By

Pretraining Graph Neural Networks for few-shot Analog Circuit Modeling
and Design

v1v2 (latest)

Pretraining Graph Neural Networks for few-shot Analog Circuit Modeling and Design

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (IEEE TCAD), 2022

29 March 2022

Kourosh Hakhamaneshi

Mariano Phielipp

Pieter Abbeel

Vladimir M. Stojanović

ArXiv (abs)PDF HTML Github (15★)

Papers citing "Pretraining Graph Neural Networks for few-shot Analog Circuit Modeling and Design"

9 / 9 papers shown

ZeroSim: Zero-Shot Analog Circuit Evaluation with Unified Transformer Embeddings

ZeroSim: Zero-Shot Analog Circuit Evaluation with Unified Transformer Embeddings

310

4

0

10 Nov 2025

GraphPPD: Posterior Predictive Modelling for Graph-Level Inference

GraphPPD: Posterior Predictive Modelling for Graph-Level Inference

Soumyasundar Pal

210

0

0

23 Aug 2025

RF-Informed Graph Neural Networks for Accurate and Data-Efficient Circuit Performance Prediction

RF-Informed Graph Neural Networks for Accurate and Data-Efficient Circuit Performance Prediction

Inna Partin-Vaisband

193

0

0

22 Aug 2025

FALCON: An ML Framework for Fully Automated Layout-Constrained Analog Circuit Design

FALCON: An ML Framework for Fully Automated Layout-Constrained Analog Circuit Design

Hamidreza Aghasi

Salman Avestimehr

241

6

0

28 May 2025

DICE: Device-level Integrated Circuits Encoder with Graph Contrastive Pretraining

DICE: Device-level Integrated Circuits Encoder with Graph Contrastive Pretraining

463

0

0

13 Feb 2025

GraCo -- A Graph Composer for Integrated Circuits

GraCo -- A Graph Composer for Integrated Circuits

Arun Venkitaraman

Lorenzo Servadei

496

2

0

21 Nov 2024

Graph Attention-Based Symmetry Constraint Extraction for Analog Circuits

Graph Attention-Based Symmetry Constraint Extraction for Analog Circuits

330

10

0

22 Dec 2023

CktGNN: Circuit Graph Neural Network for Electronic Design Automation

CktGNN: Circuit Graph Neural Network for Electronic Design AutomationInternational Conference on Learning Representations (ICLR), 2023

Zehao Dong

355

78

0

31 Aug 2023

DeeperGCN: All You Need to Train Deeper GCNs

DeeperGCN: All You Need to Train Deeper GCNs

643

505

0

13 Jun 2020

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