Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 3
822-827

Graph attention network representation learning with node similarity

Liu Yuan1
Zhao Zijuan2
Yang Kai1
1. College of Information Engineering, Yangzhou University, Yangzhou Jiangsu 225127, China
2. Business School, University of Shanghai for Science & Technology, Shanghai 200093, China
DOI: 10.19734/j.issn.1001-3695.2022.07.0403

Abstract

Graph attention network(GAT) aggregates the information of neighbor nodes to extract the structural features of nodes through the attention mechanism, however, it doesn't consider the potential node similarity features in the network. To address these problems, this paper proposed a network representation learning method that considered similar nodes in the network(NSGAN). Firstly, at the node level, the NSGAN learned the structural features of the similar network and the original network separately through the graph attention mechanism. Secondly, it aggregated the node embeddings corresponding to the two networks together through the graph-based attention mechanism to generate the final embedding representation at the graph level. In the node classification experiments on the three datasets, the NSGAN improves the accuracy by about 2% over the traditional graph attention network approach, which demonstrates the effectiveness of the NSGAN model.

Foundation Support

江苏省高等学校基础学科(自然科学)研究面上项目(22KJD120002)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.07.0403
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 3
Section: Algorithm Research & Explore
Pages: 822-827
Serial Number: 1001-3695(2023)03-029-0822-06

Publish History

[2022-10-27] Accepted Paper
[2023-03-05] Printed Article

Cite This Article

刘渊, 赵紫娟, 杨凯. 基于节点相似性的图注意力网络表示学习模型 [J]. 计算机应用研究, 2023, 40 (3): 822-827. (Liu Yuan, Zhao Zijuan, Yang Kai. Graph attention network representation learning with node similarity [J]. Application Research of Computers, 2023, 40 (3): 822-827. )

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  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

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.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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