MiniClean: A Single-Machine System for Cleaning Big Graphs
Summary: MiniClean is a single-machine graph cleaning system unifying rule-based reasoning with ML for error detection and correction on billion-scale graphs. A CPU–GPU pipeline with memory bundling and compression, plus SIMD/pipelined/independent parallelism, delivers ~8x speedup vs a 32-node cluster. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Wenchao Bai (Southeast University)
- 2. Wenfei Fan (Beihang University; University of Edinburgh)
- 3. Jiahui Jin (Southeast University)
- 4. Daji Li (Shenzhen University)
- 5. Jian Li (Shenzhen University)
- 6. Shuhao Liu (Shenzhen University)
- 7. Mingliang Ouyang (Shenzhen University)
- 8. Qiang Yuan (Shenzhen University)
BibTeX Citation
@inproceedings{bai_sigmod25,
title = {{MiniClean: A Single-Machine System for Cleaning Big Graphs}},
author = {Bai, Wenchao and Fan, Wenfei and Jin, Jiahui and Li, Daji and Li, Jian and Liu, Shuhao and Ouyang, Mingliang and Yuan, Qiang},
series = {{SIGMOD} '25},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3722212.3725115},
url = {https://dl.acm.org/doi/10.1145/3722212.3725115},
year = {2025}
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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 |
|---|---|---|---|---|
| 141 | Deep Entity Matching with Pre-Trained Language Models | 2021 | VLDB | 0.0002964847 |
| 2,915 | GraphScope: A Unified Engine For Big Graph Processing | 2021 | VLDB | 7.9666977e-05 |
| 3,642 | CoroGraph: Bridging Cache Efficiency and Work Efficiency for Graph Algorithm Execution | 2024 | VLDB | 7.2312616e-05 |
| 7,380 | MiniGraph: Querying Big Graphs with a Single Machine | 2023 | VLDB | 5.6288836e-05 |
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