RWalks: Random Walks as Attribute Diffusers for Filtered Vector Search
Summary: RWalks: index-agnostic graph-based filtered vector search with random-walk diffusion for both filtered and unfiltered queries. Scales to 100M vectors; beats ACORN: 2x faster filtered search, 76x faster index builds, 13x faster unfiltered search. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Anas Ait Aomar (Mohammed V University)
- 2. Karima Echihabi (Mohammed V University)
- 3. Marco Arnobaldi (Oracle)
- 4. Ioannis Alagiannis (Oracle)
- 5. Damien Hilloulin (Oracle)
- 6. Manal Cherkaoui (Mohammed V University)
BibTeX Citation
@inproceedings{aomar_sigmod25,
title = {{RWalks: Random Walks as Attribute Diffusers for Filtered Vector Search}},
author = {Aomar, Anas Ait and Echihabi, Karima and Arnobaldi, Marco and Alagiannis, Ioannis and Hilloulin, Damien and Cherkaoui, Manal},
series = {{SIGMOD} '25},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3725349},
url = {https://dl.acm.org/doi/10.1145/3725349},
year = {2025}
}
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 |
| 10,417 | WoW: A Window-to-Window Incremental Index for Range-Filtering Approximate Nearest Neighbor Search | 2026 | SIGMOD | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 16 of 16 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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