reviewComputational Social NetworksNov 10, 2019HYBRID OA

Graph convolutional networks: a comprehensive review

SZSi ZhangHTHanghang TongJXJiejun XuRMRoss Maciejewski

University of Illinois Urbana-Champaign · HRL Laboratories (United States) · +1 more institution

PubMed
Indexed incrossrefdoajpubmed

Abstract

Graphs naturally appear in numerous application domains, ranging from social analysis, bioinformatics to computer vision. The unique capability of graphs enables capturing the structural relations among data, and thus allows to harvest more insights compared to analyzing data in isolation. However, it is often very challenging to solve the learning problems on graphs, because (1) many types of data are not originally structured as graphs, such as images and text data, and (2) for graph-structured data, the underlying connectivity patterns are often complex and diverse. On the other hand, the representation learning has achieved great successes in many areas. Thereby, a potential solution is to learn the…

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1,771
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Topics
Keywords
  • Computer science
  • Graph
  • Theoretical computer science
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