PACE: A Parallelizable Computation Encoder for Directed Acyclic Graphs

PACE: A Parallelizable Computation Encoder for Directed Acyclic Graphs

19 March 2022

Zehao Dong

Papers citing "PACE: A Parallelizable Computation Encoder for Directed Acyclic Graphs"

8 / 8 papers shown

Title
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
DeepGate3: Towards Scalable Circuit Representation Learning Zhengyuan Shi Ziyang Zheng Sadaf Khan Jianyuan Zhong Min Li Qiang Xu GNN AI4CE 19 8 0 15 Jul 2024
CktGNN: Circuit Graph Neural Network for Electronic Design Automation Zehao Dong Weidong Cao Muhan Zhang Dacheng Tao Yixin Chen Xuan Zhang GNN 16 30 0 31 Aug 2023
DeepSeq: Deep Sequential Circuit Learning Sadaf Khan Zhengyuan Shi Min Li Qiang Xu GNN 10 8 0 27 Feb 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 16 0 19 Sep 2022
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 264 5,290 0 05 Nov 2016
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,435 0 26 Sep 2016
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 273 2,696 0 15 Sep 2016