RSGNN: A Model-agnostic Approach for Enhancing the Robustness of Signed Graph Neural Networks
Author:
Affiliation:
1. The University of Auckland, New Zealand
2. Beijing Institute of Technology, China
Funder
Marsden Fund
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3543507.3583221
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