A deep graph network with multiple similarity for user clustering in human–computer interaction

Kang, Y., Pu, B., Kou, Y. et al. (6 more authors) (2024) A deep graph network with multiple similarity for user clustering in human–computer interaction. ACM Transactions on Multimedia Computing, Communications and Applications, 20 (2). pp. 1-20. ISSN 1551-6857

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Item Type: Article
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© 2022 Association for Computing Machinery. This is an author-produced version of a paper subsequently published in ACM Transactions on Multimedia Computing, Communications and Applications. Uploaded in accordance with the publisher's self-archiving policy.

Keywords: Attributed graph clustering; cluster-friendly features; deep graph embedding; self-supervision module
Dates:
  • Published: February 2024
  • Published (online): 24 August 2022
  • Accepted: 23 November 2021
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 18 May 2022 09:30
Last Modified: 12 Jul 2024 15:39
Status: Published
Publisher: Association for Computing Machinery
Refereed: Yes
Identification Number: 10.1145/3549954
Open Archives Initiative ID (OAI ID):

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