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GTI: Graph-based Tree Index with Logarithm Updates for Nearest Neighbor Search in High-Dimensional Spaces
Summary: GTI constructs a global tree with a lightweight graph at level‑1 to drastically cut graph construction cost and support logarithmic‑time insertions/deletions. Matches state‑of‑the‑art graph approximate search (and supports exact NNS) while yielding ≈10× update efficiency versus prior tree methods.
(summarized by gpt-5-mini on Feb 09 2026)
- Paper ID
- 14253
- Venue
- VLDB
- Year
- 2025
- Pagerank
- 4.6379694e-05
- Overall Rank
- 7,837 | 45.48%
- DOI
-
10.14778/3717755.3717760
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
Outgoing Citations (Sorted by Pagerank)
Showing 28 of 28 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 2 |
R-Trees: A Dynamic Index Structure For Spatial Searching |
1984 |
SIGMOD |
0.0032169493 |
| 6 |
The R*-tree: An Efficient and Robust Access Method for Points and Rectangles |
1990 |
SIGMOD |
0.0016162015 |
| 34 |
Similarity Search in High Dimensions via Hashing |
1999 |
VLDB |
0.00076637636 |
| 79 |
A Quantitative Analysis and Performance Study for Similarity-Search Methods in High-Dimensional Spaces |
1998 |
VLDB |
0.00056242144 |
| 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 |
| 330 |
The Query By Image Content (QBIC) System |
1995 |
SIGMOD |
0.00027229588 |
| 575 |
Distance-Based Indexing For High-Dimensional Metric Spaces |
1997 |
SIGMOD |
0.00019882723 |
| 770 |
A Comprehensive Survey and Experimental Comparison of Graph-Based Approximate Nearest Neighbor Search |
2021 |
VLDB |
0.00016917602 |
| 1,010 |
HD-Index: Pushing the Scalability-Accuracy Boundary for Approximate kNN Search in High-Dimensional Spaces |
2018 |
VLDB |
0.00014652858 |
| 1,157 |
A Data-adaptive and Dynamic Segmentation Index for Whole Matching on Time Series |
2013 |
VLDB |
0.00013610658 |
| 1,757 |
VHP: Approximate Nearest Neighbor Search via Virtual Hypersphere Partitioning |
2020 |
VLDB |
0.00010660932 |
| 2,023 |
Efficient Approximate Nearest Neighbor Search in Multi-dimensional Databases |
2023 |
SIGMOD |
9.7544991e-05 |
| 2,435 |
iDEC: Indexable Distance Estimating Codes for Approximate Nearest Neighbor Search |
2020 |
VLDB |
8.8252237e-05 |
| 2,725 |
HVS: Hierarchical Graph Structure Based on Voronoi Diagrams for Solving Approximate Nearest Neighbor Search |
2022 |
VLDB |
8.2294908e-05 |
| 2,971 |
Towards Efficient Index Construction and Approximate Nearest Neighbor Search in High-Dimensional Spaces |
2023 |
VLDB |
7.7970531e-05 |
| 3,225 |
DeltaPQ: Lossless Product Quantization Code Compression for High Dimensional Similarity Search |
2020 |
VLDB |
7.3463484e-05 |
| 3,400 |
ELPIS: Graph-Based Similarity Search for Scalable Data Science |
2023 |
VLDB |
7.1405533e-05 |
| 3,540 |
Scalable, Variable-Length Similarity Search in Data Series: The ULISSE Approach |
2018 |
VLDB |
6.9943185e-05 |
| 3,609 |
Similarity search in the blink of an eye with compressed indices |
2023 |
VLDB |
6.9215236e-05 |
| 5,551 |
LANNS: A Web-Scale Approximate Nearest Neighbor Lookup System |
2022 |
VLDB |
5.4421769e-05 |
| 5,738 |
Hercules Against Data Series Similarity Search |
2022 |
VLDB |
5.3478528e-05 |
| 6,091 |
Reconciling Skyline and Ranking Queries |
2017 |
VLDB |
5.214376e-05 |
| 6,107 |
Continuously Adaptive Similarity Search |
2020 |
SIGMOD |
5.2066612e-05 |
| 6,387 |
Exact Processing of Uncertain Top-k Queries in Multi-criteria Settings |
2018 |
VLDB |
5.0851965e-05 |
| 7,002 |
Marrying Top-k with Skyline Queries: Relaxing the Preference Input while Producing Output of Controllable Size |
2021 |
SIGMOD |
4.8670742e-05 |
| 7,654 |
LiteHST: A Tree Embedding based Method for Similarity Search |
2023 |
SIGMOD |
4.687476e-05 |
| 8,171 |
GTS: GPU-based Tree Index for Fast Similarity Search |
2024 |
SIGMOD |
4.5688498e-05 |
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