Common Neighborhood Estimation over Bipartite Graphs under Local Differential Privacy
Summary: Estimates common neighbors in bipartite graphs under edge LDP. Proposes a multi-round pruning framework with unbiased local estimators, leveraging neighbors of both query vertices, optimized privacy-budget allocation boosts accuracy under degree imbalance. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yizhang He (University of New South Wales)
- 2. Kai Wang (Shanghai Jiao Tong University)
- 3. Wenjie Zhang (University of New South Wales)
- 4. Xuemin Lin (Shanghai Jiao Tong University)
- 5. Ying Zhang (University of Technology Sydney)
BibTeX Citation
@inproceedings{he_sigmod24,
title = {{Common Neighborhood Estimation over Bipartite Graphs under Local Differential Privacy}},
author = {He, Yizhang and Wang, Kai and Zhang, Wenjie and Lin, Xuemin and Zhang, Ying},
series = {{SIGMOD} '24},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3698803},
url = {https://dl.acm.org/doi/10.1145/3698803},
year = {2024}
}
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,442 | Defense against Poisoning Attacks under Shuffle-DP | 2026 | SIGMOD | 5.093636e-05 |
| 10,446 | Efficient and Effective Biclique Counting with Local Differential Privacy | 2026 | SIGMOD | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 11 of 11 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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