Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 10
3009-3013

Adaptive graph auto-encoder based on restarted random walk

Li Lin
Liang Yongquan
Liu Guangming
College of Computer Science & Engineering, Shandong University of Science & Technology, Qingdao Shandong 266590, China
DOI: 10.19734/j.issn.1001-3695.2021.03.0083

Abstract

Aiming at the problem that the existing graph auto-encoders can't capture the context information between nodes of the graph, this paper proposed adaptive graph auto-encoder based on restarted random walk. It firstly constructed a two-layer graph convolutional network to encode the topology and features of the graph. At the same time, it carried out the restarted random walk to capture the context information between nodes. Next, it designed the adaptive learning strategy to aggregate the representations obtained by restarted random walk and graph convolutional network. It can adaptively assign weights according to the importance of the two representations. To prove the effectiveness of the proposed method, this paper applied the final representations of the graph to the task of node clustering and link prediction. The experimental results show that the proposed method achieves more advanced performance compared with the baseline methods.

Foundation Support

国家重点研发计划资助项目(2017YFC0804406)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.03.0083
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 10
Section: Algorithm Research & Explore
Pages: 3009-3013
Serial Number: 1001-3695(2021)10-021-3009-05

Publish History

[2021-10-05] Printed Article

Cite This Article

李琳, 梁永全, 刘广明. 基于重启随机游走的图自编码器 [J]. 计算机应用研究, 2021, 38 (10): 3009-3013. (Li Lin, Liang Yongquan, Liu Guangming. Adaptive graph auto-encoder based on restarted random walk [J]. Application Research of Computers, 2021, 38 (10): 3009-3013. )

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  • Application Research of Computers Monthly Journal
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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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