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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)

Paper ID
h2238e05f35c23bab
Venue
VLDB
Year
2017
Pagerank
8.8879472e-05
Overall Rank
2,188 | 85.34%
DOI
10.14778/3018663.3018668
PDF
Download (CC BY-NC-ND 4.0)

Incoming Non-self Citations Over Time

Authors

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 26 of 26 citing papers.

Rank Citing Paper Year Venue Pagerank
1,843 Homogeneous Network Embedding for Massive Graphs via Reweighted Personalized PageRank 2020 VLDB 9.512431e-05
2,089 Unifying the Global and Local Approaches: An Efficient Power Iteration with Forward Push 2021 SIGMOD 9.0473016e-05
3,027 Zebra: When Temporal Graph Neural Networks Meet Temporal Personalized PageRank 2023 VLDB 7.7178623e-05
3,657 Realtime Top-k Personalized PageRank over Large Graphs on GPUs 2020 VLDB 7.1105244e-05
3,985 Massively Parallel Algorithms for Personalized PageRank 2021 VLDB 6.8649592e-05
3,988 Personalized PageRank on Evolving Graphs with an Incremental Index-Update Scheme 2023 SIGMOD 6.8626164e-05
4,097 TopPPR: Top-k Personalized PageRank Queries with Precision Guarantees on Large Graphs 2018 SIGMOD 6.7946571e-05
4,924 Efficient Estimation of Pairwise Effective Resistance 2023 SIGMOD 6.3426926e-05
5,244 Edge-based Local Push for Personalized PageRank 2022 VLDB 6.1995957e-05
5,308 Parallel Personalized PageRank on Dynamic Graphs 2018 VLDB 6.1739397e-05
5,741 Efficient Tree-SVD for Subset Node Embedding over Large Dynamic Graphs 2023 SIGMOD 5.9939789e-05
5,874 Efficient Algorithms for Finding Approximate Heavy Hitters in Personalized PageRanks 2018 SIGMOD 5.9456951e-05
6,047 Efficient Estimation of Heat Kernel PageRank for Local Clustering 2019 SIGMOD 5.8870311e-05
6,416 Efficient Personalized PageRank Computation: A Spanning Forests Sampling Based Approach 2022 SIGMOD 5.7744984e-05
7,267 Efficient Dynamic Weighted Set Sampling and Its Extension 2024 VLDB 5.5539363e-05
7,624 Scalable Approximate Butterfly and Bi-triangle Counting for Large Bipartite Networks 2023 SIGMOD 5.4661079e-05
7,970 Efficient Approximate Algorithms for Empirical Entropy and Mutual Information 2021 SIGMOD 5.3997018e-05
8,008 Efficient Resistance Distance Computation: the Power of Landmark-based Approaches 2023 SIGMOD 5.3916283e-05
8,251 Efficient Personalized PageRank Computation: The Power of Variance-Reduced Monte Carlo Approaches 2023 SIGMOD 5.3537264e-05
8,655 Efficient and Provable Effective Resistance Computation on Large Graphs: an Index-based Approach 2024 SIGMOD 5.2794257e-05
9,254 One Index for All: Towards Efficient Personalized PageRank Computation for Every Damping Factor 2026 SIGMOD 5.1860131e-05
10,296 BIRD: Efficient Approximation of Bidirectional Hidden Personalized PageRank 2024 VLDB 5.031399e-05
10,414 Tree+DAG: An Efficient Index for Resistance Distance Computation on Core-Periphery Graphs 2027 SIGMOD 4.9605343e-05
10,532 Fast Estimation of Pairwise Biharmonic Distance on Graphs 2026 SIGMOD 4.9605343e-05
11,757 Effective and Efficient PageRank-based Positioning for Graph Visualization 2023 SIGMOD 4.9605343e-05
11,782 Efficient Approximation Framework for Attribute Recommendation 2023 SIGMOD 4.9605343e-05
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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.

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