Preprint
Jul 2026
EdgeRefine: Privacy-Utility Balance for Graphs via Jaccard Sampling under Edge Differential Privacy
This work proposes EdgeRefine, a local differential privacy framework that improves this trade-off through adaptive edge refinement and substantially outperforms other privacy-preserving methods across datasets and GNN architectures.
Wenxiu Ding, Muzhi Liu, Zheng Yan et al.
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