Attribute Filtering in Approximate Nearest Neighbor Search: An In-depth Experimental Study
Summary: Unified interface and taxonomy for Filtering ANN that decomposes algorithms by attribute type and core components (index, pruning, entry-point). Empirical comparison of 10 algorithms/12 methods on 4 datasets (≤10M) quantifies trade-offs and provides practical selection guidance. (summarized by gpt-5-mini on Feb 11 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Mocheng Li (Chinese University of Hong Kong)
- 2. Xiao Yan (Wuhan University)
- 3. Baotong Lu (Microsoft)
- 4. Yue Zhang (Chinese University of Hong Kong)
- 5. James Cheng (Chinese University of Hong Kong)
- 6. Chenhao Ma (Chinese University of Hong Kong)
BibTeX Citation
@inproceedings{li_sigmod26,
title = {{Attribute Filtering in Approximate Nearest Neighbor Search: An In-depth Experimental Study}},
author = {Li, Mocheng and Yan, Xiao and Lu, Baotong and Zhang, Yue and Cheng, James and Ma, Chenhao},
series = {{SIGMOD} '26},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3769763},
url = {https://dl.acm.org/doi/10.1145/3769763},
year = {2026}
}Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,193 | An In-Depth Study of Filter-Agnostic Vector Search on a PostgreSQL Database System: [Experiments & Analysis] | 2026 | SIGMOD | 5.093636e-05 |
| 10,299 | Through the Lens of Hubness: A Revisit on Graph-Based Approximate Nearest Neighbor Search: [Experiments & Analysis] | 2026 | SIGMOD | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 15 of 15 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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