GripNet: Graph information propagation on supergraph for heterogeneous graphs

Xu, H., Sang, S., Bai, P. et al. (3 more authors) (2023) GripNet: Graph information propagation on supergraph for heterogeneous graphs. Pattern Recognition, 133. 108973. ISSN 0031-3203

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2022 The Authors. This is an Open Access article distributed under the terms of the Creative Commons Attribution Licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Keywords: Graph representation learning; Heterogeneous graph; Data integration; Multi-relational link prediction; Node classification
Dates:
  • Accepted: 10 August 2022
  • Published (online): 29 August 2022
  • Published: January 2023
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 Oct 2022 15:21
Last Modified: 18 Oct 2022 15:21
Status: Published
Publisher: Elsevier BV
Refereed: Yes
Identification Number: https://doi.org/10.1016/j.patcog.2022.108973
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