Navigating the Maze of Graph Analytics Frameworks using Massive Graph Datasets
Summary: Comparative study of graph analytics frameworks (GraphLab, CombBLAS, Giraph, SociaLite, Galois) vs hand-optimized baselines on massive sparse graphs. Pinpoints bottlenecks across algorithms, models, and runtimes; outlines pragmatic changes to shrink the ninja gap and guide framework choice by ease of use. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Nadathur Satish
- 2. Narayanan Sundaram
- 3. Md. Mostofa Ali Patwary
- 4. Jiwon Seo
- 5. Jongsoo Park
- 6. M. Amber Hassaan
- 7. Shubho Sengupta
- 8. Zhaoming Yin
- 9. Pradeep Dubey
Incoming Citations (Sorted by Pagerank)
Showing 13 of 13 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 1 of 1 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,323 | Distributed SociaLite: A Datalog-Based Language for Large-Scale Graph Analysis | 2013 | VLDB | 0.00012595443 |
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