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TurboGraph++: A Scalable and Fast Graph Analytics System
Summary: TurboGraph++ enables scalable external-memory graph analytics in a fixed memory budget, supporting multi-hop neighborhood tasks. Balanced partitioning with three-level parallelism enables Gemini-like performance on Chaos-scale graphs.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 5561
- Venue
- SIGMOD
- Year
- 2018
- Pagerank
- 5.7574792e-05
- Overall Rank
- 5,017 | 65.10%
- DOI
-
10.1145/3183713.3196915
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 10 of 10 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
| 4,020 |
TopoX: Topology Refactorization for Efficient Graph Partitioning and Processing |
2019 |
VLDB |
6.5237459e-05 |
| 5,518 |
Hypergraph Motifs: Concepts, Algorithms, and Discoveries |
2020 |
VLDB |
5.4621935e-05 |
| 5,570 |
iTurboGraph: Scaling and Automating Incremental Graph Analytics |
2021 |
SIGMOD |
5.4284968e-05 |
| 6,884 |
Lotan: Bridging the Gap between GNNs and Scalable Graph Analytics Engines |
2023 |
VLDB |
4.8955332e-05 |
| 7,257 |
CAVE: Concurrency-Aware Graph Processing on SSDs |
2024 |
SIGMOD |
4.786584e-05 |
| 9,330 |
Parallel Query Processing: To Separate Communication from Computation |
2022 |
SIGMOD |
4.3556432e-05 |
| 9,596 |
Scalable Graph Convolutional Network Training on Distributed-Memory Systems |
2023 |
VLDB |
4.319218e-05 |
| 10,044 |
ACGraph: An Efficient Asynchronous Out-of-Core Graph Processing Framework |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,199 |
R2O: A Dual-Layer Framework for Joint Rewriting and Ordering in Distributed Property Graph Query Optimization |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,514 |
cuMatch: A GPU-based Memory-Efficient Worst-case Optimal Join Processing Method for Subgraph Queries with Complex Patterns |
2025 |
SIGMOD |
4.1945683e-05 |
Outgoing Citations (Sorted by Pagerank)
Showing 17 of 17 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 4 |
Pregel: A System for Large-Scale Graph Processing |
2010 |
SIGMOD |
0.0019005923 |
| 37 |
Distributed GraphLab: A Framework for Machine Learning and Data Mining in the Cloud |
2012 |
VLDB |
0.0007522744 |
| 396 |
One Trillion Edges: Graph Processing at Facebook-Scale |
2015 |
VLDB |
0.00024424102 |
| 444 |
Parallelizing Sequential Graph Computations |
2017 |
SIGMOD |
0.00022987918 |
| 574 |
From "Think Like a Vertex" to "Think Like a Graph" |
2014 |
VLDB |
0.00019883211 |
| 1,171 |
Blogel: A Block-Centric Framework for Distributed Computation on Real-World Graphs |
2014 |
VLDB |
0.00013511313 |
| 1,294 |
Distributed SociaLite: A Datalog-Based Language for Large-Scale Graph Analysis |
2013 |
VLDB |
0.00012779484 |
| 1,361 |
The End of Slow Networks: It's Time for a Redesign |
2016 |
VLDB |
0.00012379741 |
| 1,500 |
Parallel Subgraph Listing in a Large-Scale Graph |
2014 |
SIGMOD |
0.00011674394 |
| 1,685 |
Fast Iterative Graph Computation with Block Updates |
2013 |
VLDB |
0.0001091808 |
| 1,877 |
Large-Scale Distributed Graph Computing Systems: An Experimental Evaluation |
2015 |
VLDB |
0.00010236803 |
| 2,162 |
Scalable Subgraph Enumeration in MapReduce |
2015 |
VLDB |
9.3964337e-05 |
| 5,788 |
MOCgraph: Scalable Distributed Graph Processing Using Message Online Computing |
2015 |
VLDB |
5.3273911e-05 |
| 6,668 |
TrillionG: A Trillion-scale Synthetic Graph Generator using a Recursive Vector Model |
2017 |
SIGMOD |
4.968252e-05 |
| 6,709 |
Big Graph Analytics Systems |
2016 |
SIGMOD |
4.9529145e-05 |
| 8,648 |
NScale: Neighborhood-centric Analytics on Large Graphs |
2014 |
VLDB |
4.4763421e-05 |
| 9,282 |
Hybrid Pulling/Pushing for I/O-Efficient Distributed and Iterative Graph Computing |
2016 |
SIGMOD |
4.3634964e-05 |
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