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PM-LSH: A Fast and Accurate LSH Framework for High-Dimensional Approximate NN Search
Summary: PM-LSH uses a PM-tree index with a tunable confidence interval to enable fast, accurate c-ANN in high dimensions. An efficient algorithm atop the PM-tree prunes candidates and improves speed and accuracy over prior LSH.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 12263
- Venue
- VLDB
- Year
- 2020
- Pagerank
- 9.3451821e-05
- Overall Rank
- 2,181 | 84.83%
- DOI
-
10.14778/3377369.3377374
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 27 of 27 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
| 495 |
Milvus: A Purpose-Built Vector Data Management System |
2021 |
SIGMOD |
0.00021767688 |
| 1,757 |
VHP: Approximate Nearest Neighbor Search via Virtual Hypersphere Partitioning |
2020 |
VLDB |
0.00010660932 |
| 2,262 |
Manu: A Cloud Native Vector Database Management System |
2022 |
VLDB |
9.1624446e-05 |
| 2,324 |
RaBitQ: Quantizing High-Dimensional Vectors with a Theoretical Error Bound for Approximate Nearest Neighbor Search |
2024 |
SIGMOD |
9.0326444e-05 |
| 2,523 |
ACORN: Performant and Predicate-Agnostic Search Over Vector Embeddings and Structured Data |
2024 |
SIGMOD |
8.604576e-05 |
| 2,811 |
High-Dimensional Approximate Nearest Neighbor Search: with Reliable and Efficient Distance Comparison Operations |
2023 |
SIGMOD |
8.0806307e-05 |
| 2,971 |
Towards Efficient Index Construction and Approximate Nearest Neighbor Search in High-Dimensional Spaces |
2023 |
VLDB |
7.7970531e-05 |
| 3,680 |
SingleStore-V: An Integrated Vector Database System in SingleStore |
2024 |
VLDB |
6.8496415e-05 |
| 4,278 |
Similarity Query Processing for High-Dimensional Data |
2020 |
VLDB |
6.2953764e-05 |
| 5,456 |
Point-to-Hyperplane Nearest Neighbor Search Beyond the Unit Hypersphere |
2021 |
SIGMOD |
5.4976692e-05 |
| 5,707 |
FARGO: Fast Maximum Inner Product Search via Global Multi-Probing |
2023 |
VLDB |
5.3611041e-05 |
| 5,996 |
A New Sparse Data Clustering Method Based On Frequent Items |
2023 |
SIGMOD |
5.2415551e-05 |
| 6,376 |
DET-LSH: A Locality-Sensitive Hashing Scheme with Dynamic Encoding Tree for Approximate Nearest Neighbor Search |
2024 |
VLDB |
5.0916875e-05 |
| 7,239 |
Efficient Data-aware Distance Comparison Operations for High-Dimensional Approximate Nearest Neighbor Search |
2025 |
VLDB |
4.792836e-05 |
| 7,316 |
Steiner-Hardness: A Query Hardness Measure for Graph-Based ANN Indexes |
2024 |
VLDB |
4.7640297e-05 |
| 7,611 |
UNIFY: Unified Index for Range Filtered Approximate Nearest Neighbors Search |
2025 |
VLDB |
4.6964271e-05 |
| 7,843 |
Subspace Collision: An Efficient and Accurate Framework for High-dimensional Approximate Nearest Neighbor Search |
2025 |
SIGMOD |
4.6367909e-05 |
| 8,209 |
VSAG: An Optimized Search Framework for Graph-based Approximate Nearest Neighbor Search |
2025 |
VLDB |
4.5581054e-05 |
| 10,071 |
Dynamically Detect and Fix Hardness for Efficient 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 |
| 10,237 |
Quantization Meets Projection: A Happy Marriage for Approximate k-Nearest Neighbor Search |
2026 |
VLDB |
4.1945683e-05 |
| 10,303 |
Elastic Index Selection for Label-Hybrid AKNN Search |
2026 |
VLDB |
4.1945683e-05 |
| 10,409 |
MicroNN: An On-device Disk-resident Updatable Vector Database |
2025 |
SIGMOD |
4.1945683e-05 |
| 10,602 |
Wolverine: Highly Efficient Monotonic Search Path Repair for Graph-based ANN Index Updates |
2025 |
VLDB |
4.1945683e-05 |
| 10,737 |
Select Edges Wisely: Monotonic Path Aware Graph Layout Optimization for Disk-based ANN Search |
2025 |
VLDB |
4.1945683e-05 |
| 11,412 |
ONe Index for All Kernels (ONIAK): A Zero Re-Indexing LSH Solution to ANNS-ALT (After Linear Transformation) |
2022 |
VLDB |
4.1945683e-05 |
| 11,535 |
MP-RW-LSH: An Efficient Multi-Probe LSH Solution to ANNS-L1 |
2021 |
VLDB |
4.1945683e-05 |
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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