Rule-Based Graph Cleaning with GPUs on a Single Machine
Summary: Rule-based graph cleaning on a single machine with GPU accel; MiniClean embeds ML predicates for discovery and correction. Memory-footprint reduction via bundling and compression; CPU-GPU-I/O pipeline with SIMD and parallelism to boost CPU-GPU synergy. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Wenchao Bai (Southeast University)
- 2. Wenfei Fan (Beihang University; Shenzhen University; University of Edinburgh)
- 3. Shuhao Liu (Shenzhen University)
- 4. Kehan Pang (Beihang University)
- 5. Xiaoke Zhu (Beihang University)
- 6. Jiahui Jin (Southeast University)
BibTeX Citation
@inproceedings{bai_sigmod25,
title = {{Rule-Based Graph Cleaning with GPUs on a Single Machine}},
author = {Bai, Wenchao and Fan, Wenfei and Liu, Shuhao and Pang, Kehan and Zhu, Xiaoke and Jin, Jiahui},
series = {{SIGMOD} '25},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3725303},
url = {https://dl.acm.org/doi/10.1145/3725303},
year = {2025}
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