FrogWild! – Fast PageRank Approximations on Graph Engines
Summary: FrogWild! fast PageRank approximations via quantized power iteration with parallel random walks. Partial GraphLab mirror sync cuts cross-node traffic, induces walk correlations; bound shows near-PageRank accuracy; faster, up to 7x on Twitter. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Ioannis Mitliagkas (University of Texas)
- 2. Michael Borokhovich (University of Texas)
- 3. Alexandros G. Dimakis (University of Texas)
- 4. Constantine Caramanis (University of Texas)
BibTeX Citation
@article{mitliagkas_vldb15,
title = {{FrogWild! – Fast PageRank Approximations on Graph Engines}},
author = {Mitliagkas, Ioannis and Borokhovich, Michael and Dimakis, Alexandros G. and Caramanis, Constantine},
journal = {PVLDB},
series = {{VLDB} '15},
volume = {8},
number = {8},
pages = {874--885},
doi = {10.14778/2757807.2757812},
url = {https://doi.org/10.14778/2757807.2757812},
year = {2015}
}
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,073 | BePI: Fast and Memory-Efficient Method for Billion-Scale Random Walk with Restart | 2017 | SIGMOD | 9.2209912e-05 |
| 4,089 | TCUDB: Accelerating Database with Tensor Processors | 2022 | SIGMOD | 6.9096857e-05 |
| 11,842 | Ariadne: Online Provenance for Big Graph Analytics | 2019 | SIGMOD | 5.093636e-05 |
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3 | Pregel: A System for Large-Scale Graph Processing | 2010 | SIGMOD | 0.0012250108 |
| 1,654 | Navigating the Maze of Graph Analytics Frameworks using Massive Graph Datasets | 2014 | SIGMOD | 0.00010104703 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 8,063 | Estimating Single-Node PageRank in O~(min{d_t, sqrt(m)}) Time | 2023 | VLDB |
| 2 | 4,225 | Realtime Top-k Personalized PageRank over Large Graphs on GPUs | 2020 | VLDB |
| 3 | 4,024 | TopPPR: Top-k Personalized PageRank Queries with Precision Guarantees on Large Graphs | 2018 | SIGMOD |
| 4 | 2,173 | Unifying the Global and Local Approaches: An Efficient Power Iteration with Forward Push | 2021 | SIGMOD |
| 5 | 1,339 | Computing Personalized PageRank Quickly by Exploiting Graph Structures | 2014 | VLDB |
| 6 | 2,362 | Incremental and Accuracy-Aware Personalized PageRank through Scheduled Approximation | 2013 | VLDB |
| 7 | 945 | Fast Personalized PageRank on MapReduce | 2011 | SIGMOD |
| 8 | 6,284 | Efficient Personalized PageRank Computation: A Spanning Forests Sampling Based Approach | 2022 | SIGMOD |
| 9 | 1,396 | Estimating PageRank on Graph Streams | 2008 | PODS |
| 10 | 556 | Fast Incremental and Personalized PageRank | 2011 | VLDB |