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On the Embeddability of Random Walk Distances

Summary: Proposes a per-node property-aware graph embedding for accurate estimation of random-walk distances (hitting/commute time, PPR); shows standard graph coordinate systems misestimate these metrics. After embedding, node queries run in ~8 μs, enabling orders-of-magnitude speedups with minimal application impact. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10845
Venue
VLDB
Year
2013
Pagerank
6.62325e-05
Overall Rank
4,572 | 68.64%
DOI
10.14778/2556549.2556554

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{zhao_vldb13,
        title = {{On the Embeddability of Random Walk Distances}},
        author = {Zhao, Xiaohan and Chang, Adelbert and Sarma, Atish Das and Zheng, Haitao and Zhao, Ben Y.},
        journal = {PVLDB},
        series = {{VLDB} '13},
        volume = {6},
        number = {14},
        pages = {1690--1701},
        doi = {10.14778/2556549.2556554},
        url = {https://doi.org/10.14778/2556549.2556554},
        year = {2013}
}

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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
945 Fast Personalized PageRank on MapReduce 2011 SIGMOD 0.00013066956
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