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Distributed Optimization of Graph Convolutional Network using Subgraph
  Variance

Distributed Optimization of Graph Convolutional Network using Subgraph Variance

6 October 2021
Taige Zhao
Xiangyu Song
Jianxin Li
Wei Luo
Imran Razzak
    GNN
ArXivPDFHTML

Papers citing "Distributed Optimization of Graph Convolutional Network using Subgraph Variance"

3 / 3 papers shown
Title
Distributed Graph Neural Network Training: A Survey
Distributed Graph Neural Network Training: A Survey
Yingxia Shao
Hongzheng Li
Xizhi Gu
Hongbo Yin
Yawen Li
Xupeng Miao
Wentao Zhang
Bin Cui
Lei Chen
GNN
AI4CE
38
57
0
01 Nov 2022
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph
  Neural Networks
Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks
Minjie Wang
Da Zheng
Zihao Ye
Quan Gan
Mufei Li
...
Jiaqi Zhao
Haotong Zhang
Alex Smola
Jinyang Li
Zheng-Wei Zhang
AI4CE
GNN
206
747
0
03 Sep 2019
Benefits of depth in neural networks
Benefits of depth in neural networks
Matus Telgarsky
179
604
0
14 Feb 2016
1