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)
Incoming Non-self Citations Over Time
Authors
- 1. Jianzhong Qi
- 2. Guanli Liu
- 3. Christian S. Jensen
- 4. Lars Kulik
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