ClipSim: A GPU-friendly Parallel Framework for Single-Source SimRank with Accuracy Guarantee
Summary: ClipSim, the first GPU-friendly parallel framework for single-source SimRank with accuracy guarantee, introduces novel data structures and GPU-parallel algorithms for all SimRank operations. Theoretical derivation reduces random walks while preserving ExactSim accuracy, delivering up to 160x speedups on real and synthetic graphs. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Tianhao Wu (Tsinghua University)
- 2. Ji Cheng (Hong Kong University of Science and Technology)
- 3. Chaorui Zhang (Huawei)
- 4. Jianfeng Hou (Huawei)
- 5. Gengjian Chen (Wuhan University)
- 6. Zhongyi Huang (Tsinghua University)
- 7. Weixi Zhang (Huawei)
- 8. Wei Han (Huawei)
- 9. Bo Bai (Huawei)
BibTeX Citation
@inproceedings{wu_sigmod23,
title = {{ClipSim: A GPU-friendly Parallel Framework for Single-Source SimRank with Accuracy Guarantee}},
author = {Wu, Tianhao and Cheng, Ji and Zhang, Chaorui and Hou, Jianfeng and Chen, Gengjian and Huang, Zhongyi and Zhang, Weixi and Han, Wei and Bai, Bo},
series = {{SIGMOD} '23},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3588707},
url = {https://dl.acm.org/doi/10.1145/3588707},
year = {2023}
}
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