HiGIL: Hierarchical Graph Inference Learning for Fact Checking

Mao, Q, Wang, Y, Yang, C et al. (5 more authors) (2023) HiGIL: Hierarchical Graph Inference Learning for Fact Checking. In: 2022 IEEE International Conference on Data Mining (ICDM). 22nd IEEE International Conference on Data Mining (ICDM), 28 Nov - 01 Dec 2022, Orlando, Florida, USA. IEEE , pp. 329-377. ISBN 978-1-6654-5099-7

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Item Type: Proceedings Paper
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Keywords: Fact-checking , Graph Inference Learning , Graph Reasoning , Graph Coarsening , Graph Pooling
Dates:
  • Published: 1 February 2023
  • Published (online): 1 February 2023
  • Accepted: 1 September 2022
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 20 Oct 2022 12:34
Last Modified: 02 Jun 2023 15:12
Status: Published
Publisher: IEEE
Identification Number: 10.1109/ICDM54844.2022.00043
Open Archives Initiative ID (OAI ID):

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