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Similarity Evaluation on Tree-structured Data

Summary: Tree edit distance is costly; encode trees as approximate numeric vectors; L1 distance lower-bounds tree distance in O(|T1|+|T2|). A filter-and-refine framework uses the embedding to speed up similarity search on large tree-structured datasets. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3682
Venue
SIGMOD
Year
2005
Pagerank
7.3927291e-05
Overall Rank
3,199 | 77.75%
DOI
-

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