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Efficient Estimation of Pairwise Effective Resistance

Summary: AMC: improved Monte Carlo estimation reduces random-walk length and count with adaptive sampling while preserving accuracy. GEER: a greedy framework that pairs AMC with sparse mat-vecs for dramatic practical speedups, maintaining asymptotic guarantees. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6581
Venue
SIGMOD
Year
2023
Pagerank
6.3409526e-05
Overall Rank
5,157 | 64.62%
DOI
10.1145/3588696

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{yang_sigmod23,
        title = {{Efficient Estimation of Pairwise Effective Resistance}},
        author = {Yang, Renchi and Tang, Jing},
        series = {{SIGMOD} '23},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3588696},
        url = {https://dl.acm.org/doi/10.1145/3588696},
        year = {2023}
}

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