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Distribution-Aware Exploration for Adaptive HNSW Search

Summary: Query-adaptive HNSW exploration factor (Ada-ef) for ANNS: statistically model query–data similarity to set per-query ef under a declarative target recall. Distribution-aware, update-friendly, avoids over/under-searching; 4x latency, 50x compute, 100x memory gains. (summarized by gpt-5.4-mini on Apr 11 2026)

Paper ID
h1bd16fe7d0ba040e
Venue
SIGMOD
Year
2026
Pagerank
5.1571823e-05
Overall Rank
9,560 | 35.73%
DOI
10.1145/3786639

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{zhang_sigmod26,
        title = {{Distribution-Aware Exploration for Adaptive HNSW Search}},
        author = {Zhang, Chao and Miller, Renée J.},
        series = {{SIGMOD} '26},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3786639},
        url = {https://dl.acm.org/doi/10.1145/3786639},
        year = {2026}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
10,900 ANNiE: A Learned Query Cost Estimator for Graph-Based Approximate Nearest Neighbor Search 2026 VLDB 4.9793485e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 22 of 22 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
71 DuckDB: an Embeddable Analytical Database 2019 SIGMOD 0.00037720227
74 Fast Approximate Nearest Neighbor Search With The Navigating Spreading-out Graph 2019 VLDB 0.00037091678
194 Milvus: A Purpose-Built Vector Data Management System 2021 SIGMOD 0.00025636725
298 Query-Aware Locality-Sensitive Hashing for Approximate Nearest Neighbor Search 2016 VLDB 0.00021833987
345 A Comprehensive Survey and Experimental Comparison of Graph-Based Approximate Nearest Neighbor Search 2021 VLDB 0.00020445545
650 HD-Index: Pushing the Scalability-Accuracy Boundary for Approximate kNN Search in High-Dimensional Spaces 2018 VLDB 0.00015149775
713 Cache locality is not enough: High-Performance Nearest Neighbor Search with Product Quantization Fast Scan 2016 VLDB 0.00014571977
839 Improving Approximate Nearest Neighbor Search through Learned Adaptive Early Termination 2020 SIGMOD 0.00013547412
916 PASE: PostgreSQL Ultra-High-Dimensional Approximate Nearest Neighbor Search Extension 2020 SIGMOD 0.00013094482
1,328 VHP: Approximate Nearest Neighbor Search via Virtual Hypersphere Partitioning 2020 VLDB 0.00011003106
1,613 Starling: An I/O-Efficient Disk-Resident Graph Index Framework for High-Dimensional Vector Similarity Search on Data Segment 2024 SIGMOD 0.00010072237
1,752 Kuzu* Graph Database Management System 2023 CIDR 9.7289339e-05
1,897 iDEC: Indexable Distance Estimating Codes for Approximate Nearest Neighbor Search 2020 VLDB 9.4092345e-05
2,085 SingleStore-V: An Integrated Vector Database System in SingleStore 2024 VLDB 9.0709364e-05
2,265 ELPIS: Graph-Based Similarity Search for Scalable Data Science 2023 VLDB 8.7238222e-05
2,871 Graph-Based Vector Search: An Experimental Evaluation of the State-of-the-Art 2025 SIGMOD 7.9229231e-05
4,598 Steiner-Hardness: A Query Hardness Measure for Graph-Based ANN Indexes 2024 VLDB 6.5086378e-05
5,268 FARGO: Fast Maximum Inner Product Search via Global Multi-Probing 2023 VLDB 6.2015316e-05
5,886 MIRAGE-ANNS: Mixed Approach Graph-based Indexing for Approximate Nearest Neighbor Search 2025 SIGMOD 5.9583046e-05
7,004 Accelerating Graph Indexing for ANNS on Modern CPUs 2025 SIGMOD 5.6238624e-05
7,721 TigerVector: Supporting Vector Search in Graph Databases for Advanced RAGs 2025 SIGMOD 5.4677994e-05
9,136 DARTH: Declarative Recall Through Early Termination for Approximate Nearest Neighbor Search 2026 SIGMOD 5.2224279e-05
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