Distributed GraphLab: A Framework for Machine Learning and Data Mining in the Cloud
Summary: Distributed GraphLab brings asynchronous, dynamic graph-parallel ML to clusters with strong consistency, using pipelined locking/versioning to curb communication and Chandy–Lamport snapshots for fault tolerance. Demonstrates 10–100× speedups over Hadoop. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yucheng Low (Carnegie Mellon University)
- 2. Joseph Gonzalez (Carnegie Mellon University)
- 3. Aapo Kyrola (Carnegie Mellon University)
- 4. Danny Bickson (Carnegie Mellon University)
- 5. Carlos Guestrin (Carnegie Mellon University)
- 6. Joseph M. Hellerstein (University of California Berkeley)
BibTeX Citation
@article{low_vldb12,
title = {{Distributed GraphLab: A Framework for Machine Learning and Data Mining in the Cloud}},
author = {Low, Yucheng and Gonzalez, Joseph and Kyrola, Aapo and Bickson, Danny and Guestrin, Carlos and Hellerstein, Joseph M.},
journal = {PVLDB},
series = {{VLDB} '12},
volume = {5},
number = {8},
pages = {716--727},
doi = {10.14778/2212351.2212354},
url = {https://doi.org/10.14778/2212351.2212354},
year = {2012}
}Incoming Citations (Sorted by Pagerank)
Showing 50 of 123 citing papers.
Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 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 |
| 452 | An Architecture for Parallel Topic Models | 2010 | VLDB | 0.00018146809 |
| 1,116 | Large Graph Processing in the Cloud | 2010 | SIGMOD | 0.0001210972 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 1,246 | Distributed Evaluation of Subgraph Queries Using Worst-case Optimal Low-Memory Dataflows | 2018 | VLDB |
| 2 | 5,675 | MOCgraph: Scalable Distributed Graph Processing Using Message Online Computing | 2015 | VLDB |
| 3 | 6,941 | LA3: A Scalable Link- and Locality-Aware Linear Algebra-Based Graph Analytics System | 2018 | VLDB |
| 4 | 9,729 | Scalable Graph Convolutional Network Training on Distributed-Memory Systems | 2023 | VLDB |
| 5 | 436 | Trinity: A Distributed Graph Engine on a Memory Cloud | 2013 | SIGMOD |
| 6 | 7,218 | Fast Failure Recovery in Distributed Graph Processing Systems | 2015 | VLDB |
| 7 | 7,447 | Experimental Analysis of Distributed Graph Systems | 2018 | VLDB |
| 8 | 1,875 | Large-Scale Distributed Graph Computing Systems: An Experimental Evaluation | 2015 | VLDB |
| 9 | 4,787 | Systems for Big-Graphs | 2014 | VLDB |
| 10 | 3,109 | Managing Large Dynamic Graphs Efficiently | 2012 | SIGMOD |