DeepGate: Learning Neural Representations of Logic Gates

DeepGate: Learning Neural Representations of Logic Gates

26 November 2021

Papers citing "DeepGate: Learning Neural Representations of Logic Gates"

16 / 16 papers shown

Title
GenEDA: Unleashing Generative Reasoning on Netlist via Multimodal Encoder-Decoder Aligned Foundation Model Wenji Fang Jing Wang Yao Lu Shang Liu Zhiyao Xie AI4CE 34 1 0 13 Apr 2025
NetTAG: A Multimodal RTL-and-Layout-Aligned Netlist Foundation Model via Text-Attributed Graph Wenji Fang Wenkai Li Shang Liu Yao Lu Hongce Zhang Zhiyao Xie 27 1 0 12 Apr 2025
Learning Library Cell Representations in Vector Space Rongjian Liang Yi-Chen Lu Wen-Hao Liu Haoxing Ren SSL 3DV 43 0 0 28 Mar 2025
DeepCircuitX: A Comprehensive Repository-Level Dataset for RTL Code Understanding, Generation, and PPA Analysis Z. Li Changran Xu Zhengyuan Shi Zedong Peng Yi Liu ... X. Wang Jieru Zhao Zhufei Chu X. J. Yang Qiang Xu 54 3 0 25 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 76 0 0 13 Feb 2025
DeepGate4: Efficient and Effective Representation Learning for Circuit Design at Scale Ziyang Zheng Shan Huang Jianyuan Zhong Zhengyuan Shi Guohao Dai Ningyi Xu Qiang Xu GNN 81 2 0 02 Feb 2025
DeepSeq2: Enhanced Sequential Circuit Learning with Disentangled Representations Sadaf Khan Zhengyuan Shi Ziyang Zheng Min Li Qiang Xu 53 1 0 01 Nov 2024
DeepGate3: Towards Scalable Circuit Representation Learning Zhengyuan Shi Ziyang Zheng Sadaf Khan Jianyuan Zhong Min Li Qiang Xu GNN AI4CE 29 8 0 15 Jul 2024
PreRoutGNN for Timing Prediction with Order Preserving Partition: Global Circuit Pre-training, Local Delay Learning and Attentional Cell Modeling Ruizhe Zhong Junjie Ye Zhentao Tang Shixiong Kai Mingxuan Yuan Jianye Hao Junchi Yan 34 8 0 27 Feb 2024
Retrieval-Guided Reinforcement Learning for Boolean Circuit Minimization A. B. Chowdhury Marco Romanelli Benjamin Tan Ramesh Karri Siddharth Garg 59 7 0 22 Jan 2024
LLM4EDA: Emerging Progress in Large Language Models for Electronic Design Automation Ruizhe Zhong Xingbo Du Shixiong Kai Zhentao Tang Siyuan Xu Hui-Ling Zhen Jianye Hao Qiang Xu M. Yuan Junchi Yan 26 33 0 28 Dec 2023
Verilog-to-PyG -- A Framework for Graph Learning and Augmentation on RTL Designs Yingjie Li Mingju Liu Alan Mishchenko Cunxi Yu 35 6 0 09 Nov 2023
DeepGate2: Functionality-Aware Circuit Representation Learning Zhengyuan Shi Hongyang Pan Sadaf Khan Min Li Yi Liu Junhua Huang Hui-Ling Zhen M. Yuan Zhufei Chu Qiang Xu 16 31 0 25 May 2023
DeepSeq: Deep Sequential Circuit Learning Sadaf Khan Zhengyuan Shi Min Li Qiang Xu GNN 25 8 0 27 Feb 2023
TAG: Learning Circuit Spatial Embedding From Layouts Keren Zhu Hao Chen Walker J. Turner George Kokai Po-Hsuan Wei D. Pan Haoxing Ren 23 13 0 07 Sep 2022
DeepSAT: An EDA-Driven Learning Framework for SAT Min Li Zhengyuan Shi Qiuxia Lai Sadaf Khan Shaowei Cai Qiang Xu 12 11 0 27 May 2022