Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). RSGNN: A Model-agnostic Approach for Enhancing the Robustness of Signed Graph Neural Networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/rsgnn-a-model-agnostic-approach-for-enhancing-the-robustness-of-signed-graph-neural-networks
MLA“RSGNN: A Model-agnostic Approach for Enhancing the Robustness of Signed Graph Neural Networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/rsgnn-a-model-agnostic-approach-for-enhancing-the-robustness-of-signed-graph-neural-networks.
BibTeX@misc{4ortxyz_rsgnn-a-model-agnostic-approach-for-enhancing-the-robustness-of-signed-graph-neural-networks_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{RSGNN: A Model-agnostic Approach for Enhancing the Robustness of Signed Graph Neural Networks}}, year = {2026}, url = {https://4ort.xyz/entity/rsgnn-a-model-agnostic-approach-for-enhancing-the-robustness-of-signed-graph-neural-networks}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): RSGNN: A Model-agnostic Approach for Enhancing the Robustness of Signed Graph Neural Networks — https://4ort.xyz/entity/rsgnn-a-model-agnostic-approach-for-enhancing-the-robustness-of-signed-graph-neural-networks (retrieved 2026-05-24)
