All-Distances Sketches, Revisited: HIP Estimators for Massive Graphs Analysis
Summary: Unified exposition of All-Distances Sketches (ADS) plus Historic Inverse Probability (HIP) estimators for scalable, near-linear per-node sketching of massive graphs. HIP halves variance of prior neighborhood-size estimates, yields polynomial gains for broader queries, is unbiased/simple, and empirically outperforms HyperLogLog. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Edith Cohen (Microsoft)
BibTeX Citation
@inproceedings{cohen_pods14,
address = {New York, NY, USA},
series = {{PODS} '14},
title = {{All-Distances Sketches, Revisited: HIP Estimators for Massive Graphs Analysis}},
url = {https://dl.acm.org/doi/10.1145/2594538.2594546},
doi = {10.1145/2594538.2594546},
booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
publisher = {Association for Computing Machinery},
author = {Cohen, Edith},
year = {2014}
}
Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3 | Pregel: A System for Large-Scale Graph Processing | 2010 | SIGMOD | 0.0012089097 |
| 192 | Fast Exact Shortest-Path Distance Queries on Large Networks by Pruned Landmark Labeling | 2013 | SIGMOD | 0.00025740385 |
| 495 | An Optimal Algorithm for the Distinct Elements Problem | 2010 | PODS | 0.00017347522 |
| 3,549 | Tighter Estimation using Bottom k Sketches | 2008 | VLDB | 7.1896874e-05 |
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