An attention-based collaboration framework for multi-view network representation learning

Qu Meng, Jian Tang, Jingbo Shang, Xiang Ren, Ming Zhang, Jiawei Han

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Learning distributed node representations in networks has been attracting increasing attention recently due to its effectiveness in a variety of applications. Existing approaches usually study networks with a single type of proximity between nodes, which defines a single view of a network. However, in reality there usually exists multiple types of proximities between nodes, yielding networks with multiple views. This paper studies learning node representations for networks with multiple views, which aims to infer robust node representations across different views. We propose a multi-view representation learning approach, which promotes the collaboration of different views and lets them vote for the robust representations. During the voting process, an attention mechanism is introduced, which enables each node to focus on the most informative views. Experimental results on real-world networks show that the proposed approach outperforms existing state-of-theart approaches for network representation learning with a single view and other competitive approaches with multiple views.

Original languageEnglish (US)
Title of host publicationCIKM 2017 - Proceedings of the 2017 ACM Conference on Information and Knowledge Management
PublisherAssociation for Computing Machinery
Pages1767-1776
Number of pages10
ISBN (Electronic)9781450349185
DOIs
StatePublished - Nov 6 2017
Event26th ACM International Conference on Information and Knowledge Management, CIKM 2017 - Singapore, Singapore
Duration: Nov 6 2017Nov 10 2017

Publication series

NameInternational Conference on Information and Knowledge Management, Proceedings
VolumePart F131841

Other

Other26th ACM International Conference on Information and Knowledge Management, CIKM 2017
CountrySingapore
CitySingapore
Period11/6/1711/10/17

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ASJC Scopus subject areas

  • Business, Management and Accounting(all)
  • Decision Sciences(all)

Cite this

Meng, Q., Tang, J., Shang, J., Ren, X., Zhang, M., & Han, J. (2017). An attention-based collaboration framework for multi-view network representation learning. In CIKM 2017 - Proceedings of the 2017 ACM Conference on Information and Knowledge Management (pp. 1767-1776). (International Conference on Information and Knowledge Management, Proceedings; Vol. Part F131841). Association for Computing Machinery. https://doi.org/10.1145/3132847.3133021