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SymphonyQG: Towards Symphonious Integration of Quantization and Graph for Approximate Nearest Neighbor Search
Summary: SymphonyQG tightly couples quantization and graph indices for ANN, avoids re-ranking, and aligns the graph with FastScan’s batch distances. It achieves time-accuracy at 95% recall, with 1.5-4.5x QPS gains over baselines and ≥8x faster indexing than NGT-QG.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 7071
- Venue
- SIGMOD
- Year
- 2025
- Pagerank
- 5.6406991e-05
- Overall Rank
- 5,184 | 63.94%
- DOI
-
10.1145/3709730
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 12 of 12 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
| 7,544 |
A Topology-Aware Localized Update Strategy for Graph-Based ANN Index |
2026 |
VLDB |
4.7149033e-05 |
| 9,291 |
DARTH: Declarative Recall Through Early Termination for Approximate Nearest Neighbor Search |
2026 |
SIGMOD |
4.3619549e-05 |
| 10,007 |
Proximity Graphs for Similarity Search: Fast Construction, Lower Bounds, and Euclidean Separation |
2026 |
PODS |
4.1945683e-05 |
| 10,042 |
Accelerating High-Dimensional ANN Search via Skipping Redundant Distance Computations |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,071 |
Dynamically Detect and Fix Hardness for Efficient Approximate Nearest Neighbor Search |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,086 |
High-Throughput, Cost-Effective Billion-Scale Vector Search with a Single GPU |
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 |
| 10,165 |
Fast-Convergent Proximity Graphs for Approximate Nearest Neighbor Search |
2026 |
SIGMOD |
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 |
| 10,703 |
Fast Graph Vector Search via Hardware Acceleration and Delayed-Synchronization Traversal |
2025 |
VLDB |
4.1945683e-05 |
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 |
| 91 |
M-tree: An Efficient Access Method for Similarity Search in Metric Spaces |
1997 |
VLDB |
0.0005181666 |
| 212 |
Fast Approximate Nearest Neighbor Search With The Navigating Spreading-out Graph |
2019 |
VLDB |
0.00033913475 |
| 495 |
Milvus: A Purpose-Built Vector Data Management System |
2021 |
SIGMOD |
0.00021767688 |
| 562 |
Query-Aware Locality-Sensitive Hashing for Approximate Nearest Neighbor Search |
2016 |
VLDB |
0.00020091752 |
| 605 |
Locality-Sensitive Hashing Scheme Based on Dynamic Collision Counting |
2012 |
SIGMOD |
0.000193396 |
| 736 |
AnalyticDB-V: A Hybrid Analytical Engine Towards Query Fusion for Structured and Unstructured Data |
2020 |
VLDB |
0.00017447617 |
| 770 |
A Comprehensive Survey and Experimental Comparison of Graph-Based Approximate Nearest Neighbor Search |
2021 |
VLDB |
0.00016917602 |
| 867 |
SRS: Solving c-Approximate Nearest Neighbor Queries in High Dimensional Euclidean Space with a Tiny Index |
2015 |
VLDB |
0.00015792021 |
| 1,269 |
Cache locality is not enough: High-Performance Nearest Neighbor Search with Product Quantization Fast Scan |
2016 |
VLDB |
0.00012930432 |
| 2,023 |
Efficient Approximate Nearest Neighbor Search in Multi-dimensional Databases |
2023 |
SIGMOD |
9.7544991e-05 |
| 2,320 |
High-Throughput Vector Similarity Search in Knowledge Graphs |
2023 |
SIGMOD |
9.0366225e-05 |
| 2,324 |
RaBitQ: Quantizing High-Dimensional Vectors with a Theoretical Error Bound for Approximate Nearest Neighbor Search |
2024 |
SIGMOD |
9.0326444e-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 |
| 3,400 |
ELPIS: Graph-Based Similarity Search for Scalable Data Science |
2023 |
VLDB |
7.1405533e-05 |
| 3,609 |
Similarity search in the blink of an eye with compressed indices |
2023 |
VLDB |
6.9215236e-05 |
| 3,680 |
SingleStore-V: An Integrated Vector Database System in SingleStore |
2024 |
VLDB |
6.8496415e-05 |
| 4,200 |
New Trends in High-D Vector Similarity Search: AI-driven, Progressive, and Distributed |
2021 |
VLDB |
6.3651489e-05 |
| 4,278 |
Similarity Query Processing for High-Dimensional Data |
2020 |
VLDB |
6.2953764e-05 |
| 4,862 |
Vexless: A Serverless Vector Data Management System Using Cloud Functions |
2024 |
SIGMOD |
5.8707776e-05 |
| 5,233 |
RoarGraph: A Projected Bipartite Graph for Efficient Cross-Modal Approximate Nearest Neighbor Search |
2024 |
VLDB |
5.6131833e-05 |
| 5,738 |
Hercules Against Data Series Similarity Search |
2022 |
VLDB |
5.3478528e-05 |
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