Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 4
1095-1100,1136

Node classification method of higher order network based on graph attention

Chen Dongyang
Guo Jinli
Business School, University of Shanghai for Science & Technology, Shanghai 200093, China
DOI: 10.19734/j.issn.1001-3695.2022.09.0455

Abstract

In order to better learn the high-order information and heterogeneous information in the network, this paper proposed a simplicial complex-heterogeneous graph attention neural network method based on simplicial complex(SC-HGANN). Firstly, it used simplicial complex to extract the high-order structure of the network, and took conversion from simplicial complex to simplicial complex matrix. Secondly, it applied the attention mechanism to obtain the feature of heterogeneous nodes from the features simplicial complex. Then, after convolution operation of homogeneous and heterogeneous simplicial complex matrix, homogeneous feature and heterogeneous feature took feature fusion to generate the feature of the target node by attention operator. Finally, the feature of the target node inputted the node classification module completes the classification. Compared with baseline methods such as GCN, HGNN and HAN, the SC-HGANN improves macro-F1, micro-F1, precision and recall on the three datasets. The results show that the SC-HGANN can effectively learn high-order information and heterogeneous information in the network, and improve the accuracy of node classification.

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.09.0455
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 4
Section: Algorithm Research & Explore
Pages: 1095-1100,1136
Serial Number: 1001-3695(2023)04-022-1095-06

Publish History

[2022-11-14] Accepted Paper
[2023-04-05] Printed Article

Cite This Article

陈东洋, 郭进利. 基于图注意力的高阶网络节点分类方法 [J]. 计算机应用研究, 2023, 40 (4): 1095-1100,1136. (Chen Dongyang, Guo Jinli. Node classification method of higher order network based on graph attention [J]. Application Research of Computers, 2023, 40 (4): 1095-1100,1136. )

About the Journal

  • 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.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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