CktGNN: Circuit Graph Neural Network for Electronic Design Automation

CktGNN: Circuit Graph Neural Network for Electronic Design Automation

31 August 2023

Zehao Dong

Papers citing "CktGNN: Circuit Graph Neural Network for Electronic Design Automation"

17 / 17 papers shown

Title
AnalogGenie: A Generative Engine for Automatic Discovery of Analog Circuit Topologies Jian Gao Weidong Cao Junyi Yang Xuan Zhang 36 1 0 28 Feb 2025
Self-Supervised Graph Contrastive Pretraining for Device-level Integrated Circuits Sungyoung Lee Z. Wang Seunggeun Kim Taekyun Lee David Z. Pan SSL GNN 71 0 0 13 Feb 2025
AnalogXpert: Automating Analog Topology Synthesis by Incorporating Circuit Design Expertise into Large Language Models Haoyi Zhang Shizhao Sun Yibo Lin Runsheng Wang Jiang Bian 41 0 0 31 Dec 2024
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 78 0 0 21 Nov 2024
LayerDAG: A Layerwise Autoregressive Diffusion Model for Directed Acyclic Graph Generation Mufei Li Viraj Shitole Eli Chien Changhai Man Zhaodong Wang Srinivas Sridharan Ying Zhang Tushar Krishna P. Li 30 0 0 04 Nov 2024
A Benchmark on Directed Graph Representation Learning in Hardware Designs Haoyu Wang Yinan Huang Nan Wu Pan Li OOD 20 1 0 09 Oct 2024
CktGen: Specification-Conditioned Analog Circuit Generation Yuxuan Hou Jianrong Zhang Hua-zeng Chen Min Zhou F. Yu Hehe Fan Yi Yang 16 0 0 01 Oct 2024
ShortCircuit: AlphaZero-Driven Circuit Design Dimitrios Tsaras Antoine Grosnit Lei Chen Zhiyao Xie Haitham Bou-Ammar M. Yuan 25 0 0 19 Aug 2024
What Are Good Positional Encodings for Directed Graphs? Yinan Huang Haoyu Wang Pan Li 19 2 0 30 Jul 2024
AnalogCoder: Analog Circuit Design via Training-Free Code Generation Yao Lai Sungyoung Lee Guojin Chen Souradip Poddar Mengkang Hu David Z. Pan Ping Luo 27 26 0 23 May 2024
Highly Accurate Disease Diagnosis and Highly Reproducible Biomarker Identification with PathFormer Zehao Dong Qihang Zhao Philip R. O. Payne Michael Province C. Cruchaga Muhan Zhang Tianyu Zhao Yixin Chen Fuhai Li AI4CE 10 5 0 11 Feb 2024
Large-Language-Model Empowered Dose Volume Histogram Prediction for Intensity Modulated Radiotherapy Zehao Dong Yixin Chen Hiram Gay Yao Hao Geoff Hugo Pamela Samson Tianyu Zhao 21 0 0 11 Feb 2024
DoseGNN: Improving the Performance of Deep Learning Models in Adaptive Dose-Volume Histogram Prediction through Graph Neural Networks Zehao Dong Yixin Chen Tianyu Zhao OOD 16 2 0 02 Feb 2024
GNNHLS: Evaluating Graph Neural Network Inference via High-Level Synthesis Chen Zhao Zehao Dong Yixin Chen Xuan Zhang Roger D. Chamberlain GNN 20 0 0 27 Sep 2023
Rethinking the Power of Graph Canonization in Graph Representation Learning with Stability Zehao Dong Muhan Zhang Philip R. O. Payne Michael Province C. Cruchaga Tianyu Zhao Fuhai Li Yixin Chen 28 1 0 01 Sep 2023
Interpreting the Mechanism of Synergism for Drug Combinations Using Attention-Based Hierarchical Graph Pooling Zehao Dong Heming Zhang Yixin Chen Philip R. O. Payne Fuhai Li GNN 16 10 0 19 Sep 2022
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 264 5,290 0 05 Nov 2016