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Variational Gridded Graph Convolution Network for Node Classification

Xiaobin Hong Tong Zhang Zhen Cui Jian Yang

自动化学报（英文版）2021，Vol.8Issue(10)：1697-1708,12.

自动化学报（英文版）2021，Vol.8Issue(10)：1697-1708,12.DOI:10.1109/JAS.2021.1004201

Variational Gridded Graph Convolution Network for Node Classification

Xiaobin Hong ¹Tong Zhang ¹Zhen Cui ¹Jian Yang¹

作者信息

1. Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education,School of Computer Science and Engineering,Nanjing University of Science and Technology,Nanjing 210094,China
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摘要

关键词

Graph coarsening/gridding/node classification/random walk/variational convolution

Key words

Graph coarsening/gridding/node classification/random walk/variational convolution

引用本文复制引用

Xiaobin Hong,Tong Zhang,Zhen Cui,Jian Yang..Variational Gridded Graph Convolution Network for Node Classification[J].自动化学报（英文版）,2021,8(10):1697-1708,12.

基金项目

This work was supported by the Natural Science Foundation of Jiangsu Province(BK20190019,BK20190452),the National Natural Science Foundation of China(62072244,61906094),and the Natural Science Foundation of Shandong Province(ZR2020LZH008).This work was partly collaborated with State Key Laboratory of High-end Server and Storage Technology.Recommended by Associate Editor Xin Luo. （BK20190019,BK20190452）

自动化学报（英文版）

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