Big Graph Analytics Systems
Summary: Comprehensive survey of Big Graph systems, spanning vertex-centric and alternative execution paradigms, with design ideas and comparative tradeoffs. Categorized by programming model, computation model, and execution setting, it covers communication, out-of-core, fault tolerance, dynamic graphs, and future research directions. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Da Yan (Chinese University of Hong Kong)
- 2. Yingyi Bu (Couchbase)
- 3. Yuanyuan Tian (IBM)
- 4. Amol Deshpande (University of Maryland)
- 5. James Cheng (Chinese University of Hong Kong)
BibTeX Citation
@inproceedings{yan_sigmod16,
title = {{Big Graph Analytics Systems}},
author = {Yan, Da and Bu, Yingyi and Tian, Yuanyuan and Deshpande, Amol and Cheng, James},
series = {{SIGMOD} '16},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2882903.2912566},
url = {https://dl.acm.org/doi/10.1145/2882903.2912566},
year = {2016}
}Incoming Citations (Sorted by Pagerank)
Showing 9 of 9 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,255 | Data Management in Machine Learning: Challenges, Techniques, and Systems | 2017 | SIGMOD | 0.00011325762 |
| 4,068 | Beyond Macrobenchmarks: Microbenchmark-based Graph Database Evaluation | 2019 | VLDB | 6.8215122e-05 |
| 4,075 | A Comprehensive Survey and Experimental Study of Subgraph Matching: Trends, Unbiasedness, and Interaction | 2024 | SIGMOD | 6.8188389e-05 |
| 4,285 | TurboGraph++: A Scalable and Fast Graph Analytics System | 2018 | SIGMOD | 6.688615e-05 |
| 5,404 | High Performance Distributed OLAP on Property Graphs with Grasper | 2020 | SIGMOD | 6.1453176e-05 |
| 7,708 | Systems for Scalable Graph Analytics and Machine Learning: Trends and Methods | 2025 | VLDB | 5.4718627e-05 |
| 7,985 | Graph Querying Meets HCI: State of the Art and Future Directions | 2017 | SIGMOD | 5.4126006e-05 |
| 10,200 | Large Scale Graph Mining with G-Miner | 2019 | SIGMOD | 5.0615767e-05 |
| 11,969 | Vertex-Centric Visual Programming for Graph Neural Networks | 2021 | SIGMOD | 4.9793485e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 496 | From "Think Like a Vertex" to "Think Like a Graph" | 2014 | VLDB | 0.00017323054 |
| 959 | Blogel: A Block-Centric Framework for Distributed Computation on Real-World Graphs | 2014 | VLDB | 0.00012854625 |
| 1,963 | Fast Iterative Graph Computation with Block Updates | 2013 | VLDB | 9.3063317e-05 |
| 8,792 | NScale: Neighborhood-centric Analytics on Large Graphs | 2014 | VLDB | 5.2761475e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 1,963 | Fast Iterative Graph Computation with Block Updates | 2013 | VLDB |
| 2 | 2,338 | Optimizing Graph Algorithms on Pregel-like Systems | 2014 | VLDB |
| 3 | 8,054 | Graph Data Management Systems for New Application Domains | 2011 | VLDB |
| 4 | 4,372 | Graph Analytics Through Fine-Grained Parallelism | 2016 | SIGMOD |
| 5 | 4,285 | TurboGraph++: A Scalable and Fast Graph Analytics System | 2018 | SIGMOD |
| 6 | 4,788 | Graph Synopses, Sketches, and Streams: A Survey | 2012 | VLDB |
| 7 | 7,708 | Systems for Scalable Graph Analytics and Machine Learning: Trends and Methods | 2025 | VLDB |
| 8 | 1,862 | Large-Scale Distributed Graph Computing Systems: An Experimental Evaluation | 2015 | VLDB |
| 9 | 5,950 | Managing and Mining Large Graphs: Systems and Implementations | 2012 | SIGMOD |
| 10 | 4,897 | Systems for Big-Graphs | 2014 | VLDB |