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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
- 5562
- Venue
- SIGMOD
- Year
- 2018
- Pagerank
- 5.7519428e-05
- Overall Rank
- 5,014 | 65.16%
- 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 |
| 4,025 |
TopoX: Topology Refactorization for Efficient Graph Partitioning and Processing |
2019 |
VLDB |
6.5174688e-05 |
| 5,529 |
Hypergraph Motifs: Concepts, Algorithms, and Discoveries |
2020 |
VLDB |
5.4569473e-05 |
| 5,573 |
iTurboGraph: Scaling and Automating Incremental Graph Analytics |
2021 |
SIGMOD |
5.4268881e-05 |
| 6,885 |
Lotan: Bridging the Gap between GNNs and Scalable Graph Analytics Engines |
2023 |
VLDB |
4.8908367e-05 |
| 7,256 |
CAVE: Concurrency-Aware Graph Processing on SSDs |
2024 |
SIGMOD |
4.7819929e-05 |
| 9,335 |
Parallel Query Processing: To Separate Communication from Computation |
2022 |
SIGMOD |
4.351469e-05 |
| 9,596 |
Scalable Graph Convolutional Network Training on Distributed-Memory Systems |
2023 |
VLDB |
4.3150788e-05 |
| 10,044 |
ACGraph: An Efficient Asynchronous Out-of-Core Graph Processing Framework |
2026 |
SIGMOD |
4.1905499e-05 |
| 10,199 |
R2O: A Dual-Layer Framework for Joint Rewriting and Ordering in Distributed Property Graph Query Optimization |
2026 |
SIGMOD |
4.1905499e-05 |
| 10,523 |
cuMatch: A GPU-based Memory-Efficient Worst-case Optimal Join Processing Method for Subgraph Queries with Complex Patterns |
2025 |
SIGMOD |
4.1905499e-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 |
0.0019040811 |
| 39 |
Distributed GraphLab: A Framework for Machine Learning and Data Mining in the Cloud |
2012 |
VLDB |
0.00075263552 |
| 395 |
One Trillion Edges: Graph Processing at Facebook-Scale |
2015 |
VLDB |
0.00024440144 |
| 441 |
Parallelizing Sequential Graph Computations |
2017 |
SIGMOD |
0.00023172424 |
| 570 |
From "Think Like a Vertex" to "Think Like a Graph" |
2014 |
VLDB |
0.00019895021 |
| 1,170 |
Blogel: A Block-Centric Framework for Distributed Computation on Real-World Graphs |
2014 |
VLDB |
0.00013526297 |
| 1,323 |
Distributed SociaLite: A Datalog-Based Language for Large-Scale Graph Analysis |
2013 |
VLDB |
0.00012595443 |
| 1,351 |
The End of Slow Networks: It's Time for a Redesign |
2016 |
VLDB |
0.00012439556 |
| 1,487 |
Parallel Subgraph Listing in a Large-Scale Graph |
2014 |
SIGMOD |
0.00011691164 |
| 1,684 |
Fast Iterative Graph Computation with Block Updates |
2013 |
VLDB |
0.00010912102 |
| 1,876 |
Large-Scale Distributed Graph Computing Systems: An Experimental Evaluation |
2015 |
VLDB |
0.00010242818 |
| 2,172 |
Scalable Subgraph Enumeration in MapReduce |
2015 |
VLDB |
9.37776e-05 |
| 5,780 |
MOCgraph: Scalable Distributed Graph Processing Using Message Online Computing |
2015 |
VLDB |
5.327262e-05 |
| 6,658 |
TrillionG: A Trillion-scale Synthetic Graph Generator using a Recursive Vector Model |
2017 |
SIGMOD |
4.9684622e-05 |
| 6,706 |
Big Graph Analytics Systems |
2016 |
SIGMOD |
4.9501419e-05 |
| 8,627 |
NScale: Neighborhood-centric Analytics on Large Graphs |
2014 |
VLDB |
4.4770285e-05 |
| 9,287 |
Hybrid Pulling/Pushing for I/O-Efficient Distributed and Iterative Graph Computing |
2016 |
SIGMOD |
4.3593134e-05 |
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