Depth-based Subgraph Convolutional Auto-Encoder for Network Representation Learning

Zhang, Zhihong, Chen, Dongdong, Wang, Zeli et al. (3 more authors) (2019) Depth-based Subgraph Convolutional Auto-Encoder for Network Representation Learning. Pattern Recognition. pp. 363-376. ISSN 0031-3203

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2019 Elsevier Ltd. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. https://authors.elsevier.com/c/1YYcI77nKWPC2 Elsevier 50 day share link available until 02/04/2019
Keywords: Graph convolutional neural network,Network representation learning,Node classification,Software,Signal Processing,Computer Vision and Pattern Recognition,Artificial Intelligence
Dates:
  • Accepted: 13 January 2019
  • Published (online): 1 June 2019
  • Published: 1 June 2019
Institution: The University of York
Academic Units: The University of York > Faculty of Sciences (York) > Computer Science (York)
Depositing User: Pure (York)
Date Deposited: 14 Jan 2019 16:00
Last Modified: 14 Nov 2019 12:42
Published Version: https://doi.org/10.1016/j.patcog.2019.01.045
Status: Published
Refereed: Yes
Identification Number: https://doi.org/10.1016/j.patcog.2019.01.045
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Filename: PR_D_18_01290R1_pure.pdf

Description: PR-D-18-01290R1_pure

Licence: CC-BY-NC-ND 2.5

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