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Twig2Stack: Bottom-up Processing of Generalized-Tree-Pattern Queries over XML Documents

Summary: Introduces hierarchical stack encoding to compact twig results and a bottom-up Twig2Stack for GTP queries on XML. Directly enumerates from encodings with no post-processing and outperforms state-of-the-art on twig and GTP workloads. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
9443
Venue
VLDB
Year
2006
Pagerank
6.2546168e-05
Overall Rank
4,364 | 69.65%
DOI
-

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 7 of 7 citing papers.

Rank Citing Paper Year Venue Pagerank
7,315 Nearest Keyword Search in XML Documents 2011 SIGMOD 4.7645064e-05
7,584 Adding Logical Operators to Tree Pattern Queries on Graph-Structured Data 2012 VLDB 4.7041255e-05
7,830 Scalable Structural Index Construction for JSON Analytics 2021 VLDB 4.6388763e-05
9,209 Scalable XML Query Processing using Parallel Pushdown Transducers 2013 VLDB 4.3726599e-05
9,594 Fast Optimal Twig Joins 2010 VLDB 4.3197044e-05
11,856 Index-Assisted Hierarchical Computations in Main-Memory RDBMS 2016 VLDB 4.1945683e-05
12,381 StreamTX: Extracting Tuples from Streaming XML Data 2008 VLDB 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 11 of 11 cited papers.

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

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