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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)

Paper ID
6592
Venue
SIGMOD
Year
2023
Pagerank
5.093636e-05
Overall Rank
11,383 | 21.91%
DOI
10.1145/3588707

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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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