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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

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

299

4

0

10 Nov 2025

GraphPPD: Posterior Predictive Modelling for Graph-Level Inference

GraphPPD: Posterior Predictive Modelling for Graph-Level Inference

Soumyasundar Pal

198

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

182

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

236

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

490

2

0

21 Nov 2024

Graph Attention-Based Symmetry Constraint Extraction for Analog Circuits

Graph Attention-Based Symmetry Constraint Extraction for Analog Circuits

322

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

346

75

0

31 Aug 2023

DeeperGCN: All You Need to Train Deeper GCNs

DeeperGCN: All You Need to Train Deeper GCNs

642

505

0

13 Jun 2020

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