Author

Ruixuan Liu

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Preprint Aug 2026

PriDyG: Privacy-preserving Dynamic Graph Inference with LLM-GNN Collaboration

Experiments on four benchmarks for node classification and link prediction show that PriDyG consistently outperforms geometrically decaying baselines under the same privacy budget and matches the utility of naive per-update retraining while reducing cumulative privacy cost by up to three orders of magnitude.

Yuyang Xia, Ruixuan Liu, Li Xiong · 0 citations