Elastic Index Selection for Label-Hybrid AKNN Search
Summary: Introduces elastic index selection for label-hybrid AKNN, exploiting label containment so fewer indexes serve supersets with bounded cost inflation. Formulates NP-complete selection under space/efficiency constraints and gives greedy, index-agnostic algorithms yielding 10–800× speedups. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Mingyu Yang (Hong Kong University of Science and Technology)
- 2. Wenxuan Xia (Hong Kong University of Science and Technology)
- 3. Wentao Li (University of Leicester)
- 4. Raymond Chi-Wing Wong (Hong Kong University of Science and Technology)
- 5. Wei Wang (Hong Kong University of Science and Technology)
BibTeX Citation
@article{yang_vldb26,
title = {{Elastic Index Selection for Label-Hybrid AKNN Search}},
author = {Yang, Mingyu and Xia, Wenxuan and Li, Wentao and Wong, Raymond Chi-Wing and Wang, Wei},
journal = {PVLDB},
series = {{VLDB} '26},
volume = {19},
number = {4},
pages = {617--630},
doi = {10.14778/3785297.3785304},
url = {https://doi.org/10.14778/3785297.3785304},
year = {2026}
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