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A Scalable Index for Top-k Subtree Similarity Queries

Summary: Scalable top-k subtree similarity via inverted lists; processes subtrees first and supports incremental updates in linear space. Tuning-free, data-type agnostic; outperforms state-of-the-art indexes in time and memory, up to four orders of magnitude. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5704
Venue
SIGMOD
Year
2019
Pagerank
5.4101086e-05
Overall Rank
5,615 | 60.94%
DOI
10.1145/3299869.3319892

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Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
3,259 AS-Parser: Log Parsing Based on Adaptive Segmentation 2023 SIGMOD 7.3147783e-05
8,511 JEDI: These aren't the JSON documents you're looking for... 2022 SIGMOD 4.495029e-05
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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