Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 3
659-661,707

Structural network embedding based on recurrent projection

Meng Yawen
Fu Luoyi
Wang Xinbing
Research Center of Intelligent Internet of Things, Shanghai Jiao Tong University, Shanghai 200240, China
DOI: 10.19734/j.issn.1001-3695.2018.09.0639

Abstract

In recent years, most researches in network embedding, such as node2vec and DeepWalk, are focused on the community identity defined by nodes' adjacency, instead of the structural identity defined by topology structure. And state-of-the-art methods of the latter, like struc2vec, are usually time-inefficient. This paper proposed RSNE(recurrent structural network embedding), a novel and efficient method to learn node representation from structural identity. RSNE defined a node's structural identity as the non-linear projection of its neighbors' structural identities in a recurrent manner. In order to avoid degradation into clustering with nodes' adjacency, it applied an accurate and robust initialization method based on degrees. Theoretical analysis shows that the proposed method is significantly better than the existing methods in terms of time complexity, and can also effectively use hard disk space for memory optimization. Numerical visualized and quantified experiment results suggest that RSNE has equal or better performance than state-of-the-art methods in classification accuracy and robustness while consuming much less computation and time.

Foundation Support

国家重点研发计划重点专项项目(2018YFB1004702)
国家自然科学基金资助项目(61822206,61532012,61602303,61829201)
CCF-腾讯犀牛鸟项目(20180116)
天津先进网络重点实验室开放课题

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.09.0639
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 3
Section: Algorithm Research & Explore
Pages: 659-661,707
Serial Number: 1001-3695(2020)03-004-0659-03

Publish History

[2020-03-05] Printed Article

Cite This Article

孟亚文, 傅洛伊, 王新兵. 基于递归投影的结构性网络嵌入 [J]. 计算机应用研究, 2020, 37 (3): 659-661,707. (Meng Yawen, Fu Luoyi, Wang Xinbing. Structural network embedding based on recurrent projection [J]. Application Research of Computers, 2020, 37 (3): 659-661,707. )

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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.

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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