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Revisiting the Index Construction of Proximity Graph-Based Approximate Nearest Neighbor Search
Summary: Diagnoses superlinear construction bottlenecks in proximity-graph (RNG, NSWG) indexes for k-ANN at scale. Introduces a pruning-based edge-selection construction framework (applied to RNG and integrated into NSWG) that cuts build time up to 5.6× while preserving k-ANN effectiveness.
(summarized by gpt-5-mini on Feb 09 2026)
- Paper ID
- 13840
- Venue
- VLDB
- Year
- 2025
- Pagerank
- 5.4290942e-05
- Overall Rank
- 5,569 | 61.26%
- DOI
-
10.14778/3725688.3725709
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 12 of 12 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
| 8,209 |
VSAG: An Optimized Search Framework for Graph-based Approximate Nearest Neighbor Search |
2025 |
VLDB |
4.5581054e-05 |
| 8,245 |
MIRAGE-ANNS: Mixed Approach Graph-based Indexing for Approximate Nearest Neighbor Search |
2025 |
SIGMOD |
4.5514956e-05 |
| 8,899 |
Fast Approximate Similarity Join in Vector Databases |
2025 |
SIGMOD |
4.427232e-05 |
| 10,052 |
Attribute Filtering in Approximate Nearest Neighbor Search: An In-depth Experimental Study |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,054 |
Beyond Vector Search: Querying With and Without Predicates |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,111 |
Scalable Graph Indexing using GPUs for Approximate Nearest Neighbor Search |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,129 |
WoW: A Window-to-Window Incremental Index for Range-Filtering Approximate Nearest Neighbor Search |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,158 |
Efficient and Robust Out-Of-Distribution Vector Similarity Search with Cross-Distribution Monotonic Graph |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,165 |
Fast-Convergent Proximity Graphs for Approximate Nearest Neighbor Search |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,166 |
FGIM: a Fast Graph-based Indexes Merging Framework for Approximate Nearest Neighbor Search |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,224 |
SVFusion: A CPU-GPU Co-Processing Architecture for Large-Scale Real-Time Vector Search |
2026 |
VLDB |
4.1945683e-05 |
| 10,256 |
I/O Optimizations for Graph-Based Disk-Resident Approximate Nearest Neighbor Search: A Design Space Exploration |
2026 |
VLDB |
4.1945683e-05 |
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.
Semantically Similar Papers
| Overall Rank |
Paper |
Year |
Venue |
Pagerank |
| 8,245 |
MIRAGE-ANNS: Mixed Approach Graph-based Indexing for Approximate Nearest Neighbor Search |
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SIGMOD |
4.5514956e-05 |
| 770 |
A Comprehensive Survey and Experimental Comparison of Graph-Based Approximate Nearest Neighbor Search |
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VLDB |
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| 10,683 |
Accelerating Approximate Nearest Neighbor Search in Hierarchical Graphs: Efficient Level Navigation with Shortcuts |
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4.1945683e-05 |
| 10,007 |
Proximity Graphs for Similarity Search: Fast Construction, Lower Bounds, and Euclidean Separation |
2026 |
PODS |
4.1945683e-05 |
| 10,166 |
FGIM: a Fast Graph-based Indexes Merging Framework for Approximate Nearest Neighbor Search |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,073 |
Efficient Approximate Nearest Neighbor Search via Hemi-Sphere Centroids Graph |
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SIGMOD |
4.1945683e-05 |
| 2,971 |
Towards Efficient Index Construction and Approximate Nearest Neighbor Search in High-Dimensional Spaces |
2023 |
VLDB |
7.7970531e-05 |
| 212 |
Fast Approximate Nearest Neighbor Search With The Navigating Spreading-out Graph |
2019 |
VLDB |
0.00033913475 |
| 2,023 |
Efficient Approximate Nearest Neighbor Search in Multi-dimensional Databases |
2023 |
SIGMOD |
9.7544991e-05 |
| 10,165 |
Fast-Convergent Proximity Graphs for Approximate Nearest Neighbor Search |
2026 |
SIGMOD |
4.1945683e-05 |