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Effectively Learning Spatial Indices

Summary: Proposes a learned index for 2D spatial data using rank-space ordering to form an indexable sequence and block-wise learning for scalability. A recursive partitioning strategy, with experiments on 100M+ points, yields query speedups of over an order of magnitude versus R-trees and prior learned indexes. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h8961beac75f60add
Venue
VLDB
Year
2020
Pagerank
9.4498401e-05
Overall Rank
1,877 | 87.39%
DOI
10.14778/3407790.3407829
PDF
Download (CC BY-NC-ND 4.0)

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{qi_vldb20,
        title = {{Effectively Learning Spatial Indices}},
        author = {Qi, Jianzhong and Liu, Guanli and Jensen, Christian S. and Kulik, Lars},
        journal = {PVLDB},
        series = {{VLDB} '20},
        volume = {13},
        number = {11},
        pages = {2341--2354},
        doi = {10.14778/3407790.3407829},
        url = {https://doi.org/10.14778/3407790.3407829},
        year = {2020}
}

Incoming Citations (Sorted by Pagerank)

Showing 32 of 32 citing papers.

Rank Citing Paper Year Venue Pagerank
2,582 Are Updatable Learned Indexes Ready? 2022 VLDB 8.2641447e-05
2,861 APEX: A High-Performance Learned Index on Persistent Memory 2022 VLDB 7.9295281e-05
3,621 Learned Index: A Comprehensive Experimental Evaluation 2023 VLDB 7.1510804e-05
3,710 CARMI: A Cache-Aware Learned Index with a Cost-based Construction Algorithm 2022 VLDB 7.0775695e-05
4,366 DILI: A Distribution-Driven Learned Index 2023 VLDB 6.6330579e-05
4,851 The RLR-Tree: A Reinforcement Learning Based R-Tree for Spatial Data 2023 SIGMOD 6.377837e-05
4,890 Can Learned Models Replace Hash Functions? 2023 VLDB 6.3663299e-05
5,043 LSched: A Workload-Aware Learned Query Scheduler for Analytical Database Systems 2022 SIGMOD 6.2979214e-05
5,378 Updatable Learned Indexes Meet Disk-Resident DBMS - From Evaluations to Design Choices 2023 SIGMOD 6.1551053e-05
5,405 FILM: a Fully Learned Index for Larger-than-Memory Databases 2023 VLDB 6.1435108e-05
6,597 LMSFC: A Novel Multidimensional Index based on Learned Monotonic Space Filling Curves 2023 VLDB 5.7386302e-05
6,613 Making In-Memory Learned Indexes Efficient on Disk 2024 SIGMOD 5.7326443e-05
6,667 Range Search over Encrypted Multi-Attribute Data 2023 VLDB 5.7139119e-05
6,715 Replicated Layout for In-Memory Database Systems 2022 VLDB 5.6989853e-05
7,397 LiteHST: A Tree Embedding based Method for Similarity Search 2023 SIGMOD 5.5344479e-05
8,186 Towards Designing and Learning Piecewise Space-Filling Curves 2023 VLDB 5.3800965e-05
8,204 WISK: A Workload-aware Learned Index for Spatial Keyword Queries 2023 SIGMOD 5.3769515e-05
8,374 Waffle: A Workload-Aware and Query-Sensitive Framework for Disk-Based Spatial Indexing 2023 VLDB 5.3425405e-05
8,888 Spatial Query Optimization With Learning 2024 VLDB 5.2543468e-05
9,154 One Seed, Two Birds: A Unified Learned Structure for Exact and Approximate Counting 2024 SIGMOD 5.2176438e-05
9,926 Waffle: In-memory Grid Index for Moving Objects with Reinforcement Learning-based Configuration Tuning System 2022 VLDB 5.1079647e-05
10,007 BT-Tree: A Reinforcement Learning Based Index for Big Trajectory Data 2024 SIGMOD 5.0954911e-05
10,172 PLATON: Top-down R-tree Packing with Learned Partition Policy 2023 SIGMOD 5.0658661e-05
10,486 LINE: A Learned Index with Group-Enhanced Leaves and Cache-Optimized Inner Tree 2026 SIGMOD 4.9769913e-05
10,491 Mathematical Foundations of Poisoning Attacks on Linear Regression over Cumulative Distribution Functions 2026 SIGMOD 4.9769913e-05
10,667 LM-Tree: A Hybrid Learned Index for Similarity Search in Metric Spaces 2026 SIGMOD 4.9769913e-05
10,761 Toward Drift-Aware Database Benchmarking 2026 VLDB 4.9769913e-05
11,073 LiBox: A Learned Index as an Array to Minimize Last-Mile Search 2026 VLDB 4.9769913e-05
11,122 Optimizing Block Skipping for High-Dimensional Data with Learned Adaptive Curve 2025 SIGMOD 4.9769913e-05
11,666 Efficient Cost Modeling of Space-filling Curves 2024 VLDB 4.9769913e-05
11,794 Demonstrating Waffle: A Self-driving Grid Index 2023 VLDB 4.9769913e-05
11,849 Faster and Better Solution to Embed Lp Metrics by Tree Metrics 2022 SIGMOD 4.9769913e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 23 of 23 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 0.0019923528
4 The R*-tree: An Efficient and Robust Access Method for Points and Rectangles 1990 SIGMOD 0.0011402175
8 The K-D-B-Tree: A Search Structure for Large Multidimensional Dynamic Indexes 1981 SIGMOD 0.00081200096
28 Nearest Neighbor Queries 1995 SIGMOD 0.00051292389
40 The Case for Learned Index Structures 2018 SIGMOD 0.00046363107
44 The R+-Tree: A Dynamic Multi-Dimensional Index for Objects 1987 VLDB 0.00045319457
116 Direct Spatial Search on Pictorial Databases Using Packed R-trees 1985 SIGMOD 0.00031633451
265 A Class of Data Structures for Associative Searching 1984 PODS 0.00022748432
336 Hilbert R-tree: An Improved R-tree Using Fractals 1994 VLDB 0.00020652147
422 ALEX: An Updatable Adaptive Learned Index 2020 SIGMOD 0.00018488849
458 The PGM-index: a fully-dynamic compressed learned index with provable worst-case bounds 2020 VLDB 0.00017880664
555 SageDB: A Learned Database System 2019 CIDR 0.0001650754
744 Client-Server Paradise 1994 VLDB 0.00014305129
768 FITing-Tree: A Data-aware Index Structure 2019 SIGMOD 0.00014107655
869 Learning Multi-dimensional Indexes 2020 SIGMOD 0.00013363241
886 The Pyramid-Technique: Towards Breaking the Curse of Dimensionality 1998 SIGMOD 0.00013253709
1,128 Qd-tree: Learning Data Layouts for Big Data Analytics 2020 SIGMOD 0.00011901941
1,228 Fractals for Secondary Key Retrieval 1989 PODS 0.00011427053
1,440 LISA: A Learned Index Structure for Spatial Data 2020 SIGMOD 0.00010638444
1,904 The LSD tree: spatial access to multidimensional point and non-point objects 1989 VLDB 9.3990319e-05
2,065 Query and Update Efficient B+-Tree Based Indexing of Moving Objects 2004 VLDB 9.0904572e-05
3,035 A Revised R*-tree in Comparison with Related Index Structures 2009 SIGMOD 7.7296096e-05
7,306 Theoretically Optimal and Empirically Efficient R-trees with Strong Parallelizability 2018 VLDB 5.5571749e-05
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