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RSGNN: A Model-agnostic Approach for Enhancing the Robustness of Signed Graph Neural Networks
- Source :
- Proceedings of the ACM Web Conference 2023.
- Publication Year :
- 2023
- Publisher :
- ACM, 2023.
Details
- Database :
- OpenAIRE
- Journal :
- Proceedings of the ACM Web Conference 2023
- Accession number :
- edsair.doi...........207573819fdda47c4a5cefdbe4dbe451