BIRD: Efficient Approximation of Bidirectional Hidden Personalized PageRank
Summary: BIRD approximates single-source BHPP on weighted bipartite graphs with \~O(n) time, improving over prior \~O(m) methods without large matrix storage. It answers Orkut queries in 7 minutes, versus over 3 hours for existing approaches. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Haoyu Liu (Nanyang Technological University)
- 2. Siqiang Luo (Nanyang Technological University)
BibTeX Citation
@article{liu_vldb24,
title = {{BIRD: Efficient Approximation of Bidirectional Hidden Personalized PageRank}},
author = {Liu, Haoyu and Luo, Siqiang},
journal = {PVLDB},
series = {{VLDB} '24},
volume = {17},
number = {9},
pages = {2255--2268},
doi = {10.14778/3665844.3665855},
url = {https://doi.org/10.14778/3665844.3665855},
year = {2024}
}
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,161 | Near-Optimality for Single-Source Personalized PageRank | 2026 | PODS | 5.093636e-05 |
| 10,309 | A Comprehensive Benchmark on Spectral GNNs: The Impact on Efficiency, Memory, and Effectiveness | 2026 | SIGMOD | 5.093636e-05 |
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