DEG: Efficient Hybrid Vector Search Using the Dynamic Edge Navigation Graph
Summary: DEG is a graph-based ANNS index for hybrid vector search on bimodal data with dynamic alpha in HVQ. It builds a Pareto-frontier neighbor set across alpha, uses dynamic edge pruning with active ranges, and an edge-seed acceleration to speed queries. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Ziqi Yin (Nanyang Technological University)
- 2. Jianyang Gao (Nanyang Technological University)
- 3. Pasquale Balsebre (Nanyang Technological University)
- 4. Gao Cong (Nanyang Technological University)
- 5. Cheng Long (Nanyang Technological University)
BibTeX Citation
@inproceedings{yin_sigmod25,
title = {{DEG: Efficient Hybrid Vector Search Using the Dynamic Edge Navigation Graph}},
author = {Yin, Ziqi and Gao, Jianyang and Balsebre, Pasquale and Cong, Gao and Long, Cheng},
series = {{SIGMOD} '25},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3709679},
url = {https://dl.acm.org/doi/10.1145/3709679},
year = {2025}
}
Incoming Citations (Sorted by Pagerank)
Showing 8 of 8 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,619 | A Topology-Aware Localized Update Strategy for Graph-Based ANN Index | 2026 | VLDB | 6.062554e-05 |
| 10,325 | WoW: A Window-to-Window Incremental Index for Range-Filtering Approximate Nearest Neighbor Search | 2026 | SIGMOD | 5.0346745e-05 |
| 10,409 | An In-Depth Study of Filter-Agnostic Vector Search on a PostgreSQL Database System: [Experiments & Analysis] | 2026 | SIGMOD | 4.9793485e-05 |
| 10,635 | Efficient and Robust Out-Of-Distribution Vector Similarity Search with Cross-Distribution Monotonic Graph | 2026 | SIGMOD | 4.9793485e-05 |
| 10,709 | Quantization Meets Projection: A Happy Marriage for Approximate k-Nearest Neighbor Search | 2026 | VLDB | 4.9793485e-05 |
| 10,829 | RNSG: A Range-Aware Graph Index for Efficient Range-Filtered Approximate Nearest Neighbor Search | 2026 | VLDB | 4.9793485e-05 |
| 11,028 | Advances of Query Processing in Vector Databases | 2026 | VLDB | 4.9793485e-05 |
| 11,048 | Elastic Index Selection for Label-Hybrid AKNN Search | 2026 | VLDB | 4.9793485e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 19 of 19 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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