LM-Tree: A Hybrid Learned Index for Similarity Search in Metric Spaces
Summary: Hybrid learned M-Tree for metric-space similarity search: each node adaptively chooses pivots and a lightweight model to boost pruning, avoiding the weak single-pivot vs costly multi-pivot tradeoff. Efficient maintenance supports updates via pivot/model re-optimization, splits, and merges with low overhead. (summarized by gpt-5-mini on Apr 11 2026)
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Authors
- 1. Yaqi Wang
- 2. Bin Wang
- 3. Rui Zhu
- 4. Wenli Sun
- 5. Xiaochun Yang
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