HubPPR: Effective Indexing for Approximate Personalized PageRank
Summary: HubPPR indexes auxiliary information for selected high-utility hubs, enabling tunable accuracy–latency–memory tradeoffs for approximate PPR. It also supports top-k PPR, achieving up to 10×/220× speedups over BiPPR and seconds-scale queries on billion-edge graphs. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Sibo Wang (Nanyang Technological University)
- 2. Youze Tang (Nanyang Technological University)
- 3. Xiaokui Xiao (Nanyang Technological University)
- 4. Yin Yang (Hamad Bin Khalifa University)
- 5. Zengxiang Li (Institute of High Performance Computing, Agency for Science, Technology and Research)
BibTeX Citation
@article{wang_vldb17,
title = {{HubPPR: Effective Indexing for Approximate Personalized PageRank}},
author = {Wang, Sibo and Tang, Youze and Xiao, Xiaokui and Yang, Yin and Li, Zengxiang},
journal = {PVLDB},
series = {{VLDB} '17},
volume = {10},
number = {3},
pages = {205--216},
doi = {10.14778/3018663.3018668},
url = {https://doi.org/10.14778/3018663.3018668},
year = {2017}
}
Incoming Citations (Sorted by Pagerank)
Showing 25 of 25 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 945 | Fast Personalized PageRank on MapReduce | 2011 | SIGMOD | 0.00013066956 |
| 1,339 | Computing Personalized PageRank Quickly by Exploiting Graph Structures | 2014 | VLDB | 0.00011112799 |
| 1,769 | BEAR: Block Elimination Approach for Random Walk with Restart on Large Graphs | 2015 | SIGMOD | 9.7969398e-05 |
| 1,838 | Efficient Ad-hoc Search for Personalized PageRank | 2013 | SIGMOD | 9.6436348e-05 |
| 2,362 | Incremental and Accuracy-Aware Personalized PageRank through Scheduled Approximation | 2013 | VLDB | 8.6889619e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 1,838 | Efficient Ad-hoc Search for Personalized PageRank | 2013 | SIGMOD |
| 2 | 5,741 | Efficient Algorithms for Finding Approximate Heavy Hitters in Personalized PageRanks | 2018 | SIGMOD |
| 3 | 2,173 | Unifying the Global and Local Approaches: An Efficient Power Iteration with Forward Push | 2021 | SIGMOD |
| 4 | 5,139 | Edge-based Local Push for Personalized PageRank | 2022 | VLDB |
| 5 | 1,339 | Computing Personalized PageRank Quickly by Exploiting Graph Structures | 2014 | VLDB |
| 6 | 4,225 | Realtime Top-k Personalized PageRank over Large Graphs on GPUs | 2020 | VLDB |
| 7 | 9,046 | One Index for All: Towards Efficient Personalized PageRank Computation for Every Damping Factor | 2026 | SIGMOD |
| 8 | 2,362 | Incremental and Accuracy-Aware Personalized PageRank through Scheduled Approximation | 2013 | VLDB |
| 9 | 4,714 | Personalized PageRank on Evolving Graphs with an Incremental Index-Update Scheme | 2023 | SIGMOD |
| 10 | 4,024 | TopPPR: Top-k Personalized PageRank Queries with Precision Guarantees on Large Graphs | 2018 | SIGMOD |