An image-based representation for graph classification

Frédéric Rayar, Seiichi Uchida

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

抜粋

This paper proposes to study the relevance of image representations to perform graph classification. To do so, the adjacency matrix of a given graph is reordered using several matrix reordering algorithms. The resulting matrix is then converted into an image thumbnail, that is used to represent the graph. Experimentation on several chemical graph data sets and an image data set show that the proposed graph representation performs as well as the state-of-the-art methods.

元の言語英語
ホスト出版物のタイトルStructural, Syntactic, and Statistical Pattern Recognition - Joint IAPR International Workshop, S+SSPR 2018, Proceedings
編集者Edwin R. Hancock, Tin Kam Ho, Battista Biggio, Richard C. Wilson, Antonio Robles-Kelly, Xiao Bai
出版者Springer Verlag
ページ140-149
ページ数10
ISBN(印刷物)9783319977843
DOI
出版物ステータス出版済み - 1 1 2018
イベントJoint IAPR International Workshops on Structural and Syntactic Pattern Recognition, SSPR 2018 and Statistical Techniques in Pattern Recognition, SPR 2018 - Beijing, 中国
継続期間: 8 17 20188 19 2018

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
11004 LNCS
ISSN(印刷物)0302-9743
ISSN(電子版)1611-3349

その他

その他Joint IAPR International Workshops on Structural and Syntactic Pattern Recognition, SSPR 2018 and Statistical Techniques in Pattern Recognition, SPR 2018
中国
Beijing
期間8/17/188/19/18

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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  • これを引用

    Rayar, F., & Uchida, S. (2018). An image-based representation for graph classification. : E. R. Hancock, T. K. Ho, B. Biggio, R. C. Wilson, A. Robles-Kelly, & X. Bai (版), Structural, Syntactic, and Statistical Pattern Recognition - Joint IAPR International Workshop, S+SSPR 2018, Proceedings (pp. 140-149). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 巻数 11004 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-97785-0_14