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RTED: A Robust Algorithm for the Tree Edit Distance

Summary: RTED delivers a robust tree edit distance for ordered labeled trees, eliminating worst-case unpredictability. LRH-wise, RTED is worst-case optimal with competitive asymptotics; experiments on synthetic and real data favor it against the state-of-the-art. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10482
Venue
VLDB
Year
2012
Pagerank
7.2515266e-05
Overall Rank
3,301 | 77.04%
DOI
-

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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
1,390 Change Detection in Hierarchically Structured Information 1996 SIGMOD 0.00012248349
2,784 Approximate XML Joins 2002 SIGMOD 8.128931e-05
3,199 Similarity Evaluation on Tree-structured Data 2005 SIGMOD 7.3927291e-05
4,941 Comparing Hierarchical Data in External Memory 1999 VLDB 5.8179899e-05
6,732 An Incrementally Maintainable Index for Approximate Lookups in Hierarchical Data 2006 VLDB 4.9477058e-05
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