GEM: A Native Graph-based Index for Multi-Vector Retrieval
Summary: GEM natively indexes vector sets via set-level clustering and bridged local proximity graphs, preserving fine-grained multi-vector semantics. Metric decoupling, semantic shortcuts, multi-entry beam search, and quantized distances deliver up to 16× speedups at comparable or better accuracy. (summarized by gpt-5.6-luna on Jul 26 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Yao Tian (Hong Kong University of Science and Technology)
- 2. Zhoujin Tian (Hong Kong University of Science and Technology)
- 3. Xi Zhao (Hong Kong University of Science and Technology)
- 4. Ruiyuan Zhang (Hong Kong Generative AI Research & Development Center)
- 5. Xiaofang Zhou (Hong Kong University of Science and Technology)
BibTeX Citation
@inproceedings{tian_sigmod26,
title = {{GEM: A Native Graph-based Index for Multi-Vector Retrieval}},
author = {Tian, Yao and Tian, Zhoujin and Zhao, Xi and Zhang, Ruiyuan and Zhou, Xiaofang},
series = {{SIGMOD} '26},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3802065},
url = {https://dl.acm.org/doi/10.1145/3802065},
year = {2026}
}
Incoming Citations (Sorted by Pagerank)
Showing 0 of 0 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 10 of 10 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 10,851 | GAS: A Lightweight Framework for Filtered Search over Wide-table Vectors | 2026 | VLDB |
| 2 | 2,060 | Similarity search in the blink of an eye with compressed indices | 2023 | VLDB |
| 3 | 8,110 | Efficient and Tunable Similar Set Retrieval | 2001 | SIGMOD |
| 4 | 13,084 | Efficiency-Quality Tradeoffs for Vector Score Aggregation | 2004 | VLDB |
| 5 | 5,982 | Query-Sensitive Embeddings | 2005 | SIGMOD |
| 6 | 10,680 | Reveal Hidden Pitfalls and Navigate Next Generation of Vector Similarity Search from Task-Centric Views: [Experiments & Analysis] | 2026 | SIGMOD |
| 7 | 13,580 | VecFlow-Chamfer: A GPU-based Data Management System for High-Performance Multi-Vector Search on Superchips | 2026 | SIGMOD |
| 8 | 2,871 | Graph-Based Vector Search: An Experimental Evaluation of the State-of-the-Art | 2025 | SIGMOD |
| 9 | 10,635 | Efficient and Robust Out-Of-Distribution Vector Similarity Search with Cross-Distribution Monotonic Graph | 2026 | SIGMOD |
| 10 | 10,462 | Generalized Entity Matching with Adaptivity via Large Language Models | 2026 | SIGMOD |