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Fast-Convergent Proximity Graphs for Approximate Nearest Neighbor Search
Summary: Introduces alpha-convergent graphs for ANN, a proximity-graph index with a pruning rule that yields polylog-time exact NN when the true NN lies within fixed radius tau, otherwise ANN under bounded intrinsic dimensionality. Practical alpha-CNG localizes pruning for scalable build/search and outperforms prior PG indexes in distance evals and steps.
(summarized by gpt-5-mini on Apr 11 2026)
Paper ID
7667
Venue
SIGMOD
Year
2026
Pagerank
5.093636e-05
Overall Rank
10,454 | 28.28%
DOI
10.1145/3786650
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
1.
Binhong Li
(Hong Kong University of Science and Technology)
2.
Xiao Yan
(Wuhan University)
3.
Shangqi Lu
(Hong Kong University of Science and Technology)
BibTeX Citation
Copy BibTeX
@inproceedings{li_sigmod26,
title = {{Fast-Convergent Proximity Graphs for Approximate Nearest Neighbor Search}},
author = {Li, Binhong and Yan, Xiao and Lu, Shangqi},
series = {{SIGMOD} '26},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3786650},
url = {https://dl.acm.org/doi/10.1145/3786650},
year = {2026}
}
Incoming Citations (Sorted by Pagerank)
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Citing Paper
Year
Venue
Pagerank
Outgoing Citations (Sorted by Pagerank)
Showing 26 of 26 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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Pagerank
93
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VLDB
0.00034701237
277
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1997
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SRS: Solving c-Approximate Nearest Neighbor Queries in High Dimensional Euclidean Space with a Tiny Index
2015
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