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

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

29 March 2022

Kourosh Hakhamaneshi

Mariano Phielipp

Pieter Abbeel

Vladimir M. Stojanović

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

4 / 4 papers shown

Title
DICE: Device-level Integrated Circuits Encoder with Graph Contrastive Pretraining Sungyoung Lee Zihan Wang Seunggeun Kim Taekyun Lee Yao Lai David Z. Pan SSL GNN 78 0 0 13 Feb 2025
GraCo -- A Graph Composer for Integrated Circuits Stefan Uhlich Andrea Bonetti Arun Venkitaraman Ali Momeni Ryoga Matsuo Chia-Yu Hsieh Eisaku Ohbuchi Lorenzo Servadei GNN 95 0 0 21 Nov 2024
CktGNN: Circuit Graph Neural Network for Electronic Design Automation Zehao Dong Weidong Cao Muhan Zhang Dacheng Tao Yixin Chen Xuan Zhang GNN 34 30 0 31 Aug 2023
DRiLLS: Deep Reinforcement Learning for Logic Synthesis Abdelrahman I. Hosny S. Hashemi M. Shalan Sherief Reda 61 109 0 11 Nov 2019