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PLATON: Top-down R-tree Packing with Learned Partition Policy

Summary: PLATON: top-down R-tree packing with a learned partition policy tuned to data/workload. Uses Monte Carlo Tree Search with tuned exploration, plus early termination and level-wise sampling to achieve linear-time packing and beat fixed indexes. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6755
Venue
SIGMOD
Year
2023
Pagerank
4.2751057e-05
Overall Rank
9,827 | 31.64%
DOI
10.1145/3626742

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Showing 24 of 24 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
24 The R+-Tree: A Dynamic Index For Multi-Dimensional Objects 1987 VLDB 0.00083378538
56 Direct Spatial Search on Pictorial Databases Using Packed R-trees 1985 SIGMOD 0.00065631356
102 The Case for Learned Index Structures 2018 SIGMOD 0.00049545203
333 Neo: A Learned Query Optimizer 2019 VLDB 0.00027206884
640 Bao: Making Learned Query Optimization Practical 2021 SIGMOD 0.00018759152
769 Client-Server Paradise 1994 VLDB 0.00016918508
826 ALEX: An Updatable Adaptive Learned Index 2020 SIGMOD 0.00016224841
857 The PGM-index: a fully-dynamic compressed learned index with provable worst-case bounds 2020 VLDB 0.00015882892
1,478 Learning Multi-dimensional Indexes 2020 SIGMOD 0.00011762542
1,611 Qd-tree: Learning Data Layouts for Big Data Analytics 2020 SIGMOD 0.00011147324
1,889 Tsunami: A Learned Multi-dimensional Index for Correlated Data and Skewed Workloads 2021 VLDB 0.00010200865
2,115 LISA: A Learned Index Structure for Spatial Data 2020 SIGMOD 9.5257379e-05
2,678 Effectively Learning Spatial Indices 2020 VLDB 8.3252088e-05
3,255 A Revised R*-tree in Comparison with Related Index Structures 2009 SIGMOD 7.3160522e-05
3,779 Instance-Optimized Data Layouts for Cloud Analytics Workloads 2021 SIGMOD 6.7747205e-05
4,084 APEX: A High-Performance Learned Index on Persistent Memory 2022 VLDB 6.4622113e-05
5,428 The Price of Tailoring the Index to Your Data: Poisoning Attacks on Learned Index Structures 2022 SIGMOD 5.5091613e-05
5,572 The RLR-Tree: A Reinforcement Learning Based R-Tree for Spatial Data 2023 SIGMOD 5.4277273e-05
5,671 LSched: A Workload-Aware Learned Query Scheduler for Analytical Database Systems 2022 SIGMOD 5.3803919e-05
6,297 Towards instance-optimized data systems 2021 VLDB 5.1227886e-05
7,054 Theoretically Optimal and Empirically Efficient R-trees with Strong Parallelizability 2018 VLDB 4.8496866e-05
8,359 Waffle: A Workload-Aware and Query-Sensitive Framework for Disk-Based Spatial Indexing 2023 VLDB 4.5372925e-05
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