AI RESEARCH
Graph Structure Learning with Privacy Guarantees for Open Graph Data
arXiv CS.AI
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ArXi:2507.19116v2 Announce Type: replace-cross Ensuring privacy in large-scale open datasets is increasingly challenging under regulations such as the General Data Protection Regulation (GDPR). While differential privacy (DP) provides strong theoretical guarantees, it primarily focuses on noise injection during model