Quegel: A General-Purpose System for Querying Big Graphs
Summary: Quegel introduces a general-purpose graph-querying system that defines queries as first-class citizens in a vertex-centric framework. It uses a novel superstep-sharing execution model to efficiently handle light-workload queries, enabling near real-time responses for tasks like point-to-point shortest paths and XML keyword search. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Qizhen Zhang (Chinese University of Hong Kong)
- 2. Da Yan (Chinese University of Hong Kong)
- 3. James Cheng (Chinese University of Hong Kong)
BibTeX Citation
@inproceedings{zhang_sigmod16,
title = {{Quegel: A General-Purpose System for Querying Big Graphs}},
author = {Zhang, Qizhen and Yan, Da and Cheng, James},
series = {{SIGMOD} '16},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2882903.2899398},
url = {https://dl.acm.org/doi/10.1145/2882903.2899398},
year = {2016}
}Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,601 | Systems for Scalable Graph Analytics and Machine Learning: Trends and Methods | 2025 | VLDB | 5.5866563e-05 |
| 11,208 | Automating Vectorized Distributed Graph Computation | 2024 | SIGMOD | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 6 of 6 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 |
| 937 | Blogel: A Block-Centric Framework for Distributed Computation on Real-World Graphs | 2014 | VLDB | 0.00013091546 |
| 1,875 | Large-Scale Distributed Graph Computing Systems: An Experimental Evaluation | 2015 | VLDB | 9.5728308e-05 |
| 4,787 | Systems for Big-Graphs | 2014 | VLDB | 6.5079377e-05 |
| 4,813 | Horton+: A Distributed System for Processing Declarative Reachability Queries over Partitioned Graphs | 2013 | VLDB | 6.4974292e-05 |
| 7,281 | A General-Purpose Query-Centric Framework for Querying Big Graphs | 2016 | VLDB | 5.6567845e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 6,876 | A Hierarchical Contraction Scheme for Querying Big Graphs | 2022 | SIGMOD |
| 2 | 937 | Blogel: A Block-Centric Framework for Distributed Computation on Real-World Graphs | 2014 | VLDB |
| 3 | 7,380 | MiniGraph: Querying Big Graphs with a Single Machine | 2023 | VLDB |
| 4 | 1,803 | Towards Effective Partition Management for Large Graphs | 2012 | SIGMOD |
| 5 | 6,895 | QUBLE: Blending Visual Subgraph Query Formulation with Query Processing on Large Networks | 2013 | SIGMOD |
| 6 | 1,875 | Large-Scale Distributed Graph Computing Systems: An Experimental Evaluation | 2015 | VLDB |
| 7 | 1,983 | Pregelix: Big(ger) Graph Analytics on A Dataflow Engine | 2015 | VLDB |
| 8 | 2,295 | Optimizing Graph Algorithms on Pregel-like Systems | 2014 | VLDB |
| 9 | 3 | Pregel: A System for Large-Scale Graph Processing | 2010 | SIGMOD |
| 10 | 7,281 | A General-Purpose Query-Centric Framework for Querying Big Graphs | 2016 | VLDB |