# RSGNN: A Model-agnostic Approach for Enhancing the Robustness of Signed Graph Neural Networks

> Research article (Proceedings of the ACM Web Conference 2023, 2023) · cited 18× · AI/ML

**Wikidata**: [openalex:W4367046596](https://www.wikidata.org/wiki/openalex:W4367046596)  
**Source**: https://4ort.xyz/entity/rsgnn-a-model-agnostic-approach-for-enhancing-the-robustness-of-signed-graph-neural-networks
