RNSG: A Range-Aware Graph Index for Efficient Range-Filtered Approximate Nearest Neighbor Search
Summary: Introduces RRNG, a graph theory for range-filtered ANN with monotonic searchability and structural heredity, enabling one index to support all attribute ranges. RNSG approximates RRNG, reducing multi-index construction overhead while improving query speed, compactness, and build cost. (summarized by gpt-5.6-luna on Aug 28 2026)
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Authors
- 1. Zhiqiu Zou (Beijing Institute of Technology)
- 2. Ziqi Yin (Nanyang Technological University)
- 3. Rong-Hua Li (Beijing Institute of Technology)
- 4. Hongchao Qin (Beijing Institute of Technology)
- 5. Qiangqiang Dai (Beijing Institute of Technology)
- 6. Guoren Wang (Beijing Institute of Technology)
BibTeX Citation
@article{zou_vldb26,
title = {{RNSG: A Range-Aware Graph Index for Efficient Range-Filtered Approximate Nearest Neighbor Search}},
author = {Zou, Zhiqiu and Yin, Ziqi and Li, Rong-Hua and Qin, Hongchao and Dai, Qiangqiang and Wang, Guoren},
journal = {PVLDB},
series = {{VLDB} '26},
volume = {19},
number = {10},
pages = {2839--2852},
doi = {10.14778/3828612.3828636},
url = {https://doi.org/10.14778/3828612.3828636},
year = {2026}
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