Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 11
3322-3326,3365

Prediction of graduation destination based on graph convolutional network embedded social relations

Yang Guangze1
Ouyang Yong1
Sun Sisi2
Chen Lingyu1
Ye Zhiwei1
1. College of Computer Science, Hubei University of Technology, Wuhan 430068, China
2. College of Sociology, Wuhan University, Wuhan 430072, China
DOI: 10.19734/j.issn.1001-3695.2021.04.0110

Abstract

In view of existing research work on the prediction of student's graduation destination ignores the potential impact of social relationships on the choice of student's graduation destination, this paper proposed a social graph embedding-based self-attention neural network model to predict student's graduation destination. Firstly, it dealt with social relationships that included commonality and individuality, and used graph convolutional networks to embed them into student's achievement characteristics. Secondly, it introduced the self-attention mechanism to balance the characteristic factors that affect the student's graduation destination. Finally, it used the multi-layer projection layer for feature fusion and prediction. Experiments on public data sets have proved the superiority of the SGE-SANN model.

Foundation Support

国家自然科学基金面上项目(61772180)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.04.0110
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 11
Section: Algorithm Research & Explore
Pages: 3322-3326,3365
Serial Number: 1001-3695(2021)11-021-3322-05

Publish History

[2021-11-05] Printed Article

Cite This Article

杨光泽, 欧阳勇, 孙思思, 等. 基于图卷积网络嵌入社交关系的毕业去向预测 [J]. 计算机应用研究, 2021, 38 (11): 3322-3326,3365. (Yang Guangze, Ouyang Yong, Sun Sisi, et al. Prediction of graduation destination based on graph convolutional network embedded social relations [J]. Application Research of Computers, 2021, 38 (11): 3322-3326,3365. )

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  • Application Research of Computers Monthly Journal
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    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.

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