Graph classification algorithm based on graph structure embedding

•Construct a “word list” of graph data from its subgraphs.•Design a neural network for automatically training graph embedding.•Proposed a graph classification algorithm based on graph embedding. With the application of data mining in many fields such as information science, bioinformatics, and netwo...

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Bibliographic Details
Published in:	Expert systems with applications Vol. 161; p. 113715
Main Authors:	Ma, Tinghuai, Pan, Qian, Wang, Hongmei, Shao, Wenye, Tian, Yuan, Al-Nabhan, Najla
Format:	Journal Article
Language:	English
Published:	New York Elsevier Ltd 15.12.2020 Elsevier BV
Subjects:	Algorithms Bioinformatics Classification Criteria Data mining Data structures Embedding Feature extraction Graph classification Graph embedding Graph theory Graphs Natural language processing Neural network Neural networks Topology Words (language) Graph embedding Graph classification Neural network
ISSN:	0957-4174, 1873-6793
Online Access:	Get full text
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