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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
9444
Venue
VLDB
Year
2006
Pagerank
6.2486086e-05
Overall Rank
4,360 | 69.70%
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
7,313 Nearest Keyword Search in XML Documents 2011 SIGMOD 4.7599924e-05
7,588 Adding Logical Operators to Tree Pattern Queries on Graph-Structured Data 2012 VLDB 4.6996269e-05
7,836 Scalable Structural Index Construction for JSON Analytics 2021 VLDB 4.6345023e-05
9,211 Scalable XML Query Processing using Parallel Pushdown Transducers 2013 VLDB 4.3684716e-05
9,594 Fast Optimal Twig Joins 2010 VLDB 4.3155661e-05
11,864 Index-Assisted Hierarchical Computations in Main-Memory RDBMS 2016 VLDB 4.1905499e-05
12,389 StreamTX: Extracting Tuples from Streaming XML Data 2008 VLDB 4.1905499e-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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