Subgraph network for expanding structural feature space with application to graph data mining

Jinhuan Wang*, Kunfeng Qiu*, Yalu Shan*, Qi Xuan*, Guanrong Chen*

*Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 12 - Chapter in an edited book (Author)peer-review

Abstract

In this chapter, we introduce the Subgraph Network (SGN) [1], a new notion for expanding structural feature spaces. We then discuss some applications of this approach to graph data mining, such as node classification, graph classification, and link weight prediction.
Original languageEnglish
Title of host publicationOnline Social Networks
Subtitle of host publicationPerspectives, Applications and Developments
EditorsChee Wei Tan
Place of PublicationNew York
PublisherNova Science Publishers
Chapter3
Pages69-92
ISBN (Electronic)9781536173888
ISBN (Print)9781536173871
Publication statusPublished - 2020

Publication series

NameComputer science, technology and applications

Research Keywords

  • graph classification
  • link weight prediction
  • node classification
  • social network
  • structural feature
  • Subgraph network

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