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Efficient and Accurate PageRank Approximation on Large Graphs

Summary: CUR-Trans lowers PageRank time with tighter error bounds via matrix-approximation. T^2-Approx further reduces runtime while providing PageRank estimates for all vertices with competitive accuracy, validated on three large graphs. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
7024
Venue
SIGMOD
Year
2024
Pagerank
5.2755515e-05
Overall Rank
9,373 | 35.70%
DOI
10.1145/3677132

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{wu_sigmod24,
        title = {{Efficient and Accurate PageRank Approximation on Large Graphs}},
        author = {Wu, Siyue and Wu, Dingming and Quan, Junyi and Chan, Tsz Nam and Lu, Kezhong},
        series = {{SIGMOD} '24},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3677132},
        url = {https://dl.acm.org/doi/10.1145/3677132},
        year = {2024}
}

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