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TAG: Learning Circuit Spatial Embedding From Layouts

TAG: Learning Circuit Spatial Embedding From Layouts

7 September 2022
Keren Zhu
Hao Chen
Walker J. Turner
George Kokai
Po-Hsuan Wei
David Z. Pan
Haoxing Ren
ArXiv (abs)PDFHTML

Papers citing "TAG: Learning Circuit Spatial Embedding From Layouts"

11 / 11 papers shown
Title
High-Level Synthesis Performance Prediction using GNNs: Benchmarking,
  Modeling, and Advancing
High-Level Synthesis Performance Prediction using GNNs: Benchmarking, Modeling, and Advancing
Nan Wu
Hang Yang
Yuan Xie
Pan Li
Cong Hao
46
54
0
18 Jan 2022
DeepGate: Learning Neural Representations of Logic Gates
DeepGate: Learning Neural Representations of Logic Gates
Min Li
Sadaf Khan
Zhengyuan Shi
Naixing Wang
Yu Huang
Qiang Xu
GNNNAIAI4CE
58
44
0
26 Nov 2021
A general approach for identifying hierarchical symmetry constraints for
  analog circuit layout
A general approach for identifying hierarchical symmetry constraints for analog circuit layout
K. Kunal
Jitesh Poojary
Tonmoy Dhar
Meghna Madhusudan
R. Harjani
S. Sapatnekar
32
45
0
30 Sep 2020
GCN-RL Circuit Designer: Transferable Transistor Sizing with Graph
  Neural Networks and Reinforcement Learning
GCN-RL Circuit Designer: Transferable Transistor Sizing with Graph Neural Networks and Reinforcement Learning
Hanrui Wang
Kuan-Chieh Wang
Jiacheng Yang
Linxiao Shen
Nan Sun
Hae-Seung Lee
Song Han
GNN
63
239
0
30 Apr 2020
Simplifying Graph Convolutional Networks
Simplifying Graph Convolutional Networks
Felix Wu
Tianyi Zhang
Amauri Souza
Christopher Fifty
Tao Yu
Kilian Q. Weinberger
GNN
244
3,174
0
19 Feb 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLMSSLSSeg
1.8K
94,891
0
11 Oct 2018
How Powerful are Graph Neural Networks?
How Powerful are Graph Neural Networks?
Keyulu Xu
Weihua Hu
J. Leskovec
Stefanie Jegelka
GNN
243
7,653
0
01 Oct 2018
code2vec: Learning Distributed Representations of Code
code2vec: Learning Distributed Representations of Code
Uri Alon
Meital Zilberstein
Omer Levy
Eran Yahav
53
1,176
0
26 Mar 2018
Advances in Pre-Training Distributed Word Representations
Advances in Pre-Training Distributed Word Representations
Tomas Mikolov
Edouard Grave
Piotr Bojanowski
Christian Puhrsch
Armand Joulin
AI4TSVLM
147
1,244
0
26 Dec 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
704
131,652
0
12 Jun 2017
Enriching Word Vectors with Subword Information
Enriching Word Vectors with Subword Information
Piotr Bojanowski
Edouard Grave
Armand Joulin
Tomas Mikolov
NAISSLVLM
229
9,972
0
15 Jul 2016
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