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» On Graph Query Optimization in Large Networks
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97
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FCCM
2006
IEEE
113views VLSI» more  FCCM 2006»
15 years 5 months ago
GraphStep: A System Architecture for Sparse-Graph Algorithms
— Many important applications are organized around long-lived, irregular sparse graphs (e.g., data and knowledge bases, CAD optimization, numerical problems, simulations). The gr...
Michael DeLorimier, Nachiket Kapre, Nikil Mehta, D...
86
Voted
EDBT
2008
ACM
150views Database» more  EDBT 2008»
15 years 11 months ago
Finding time-dependent shortest paths over large graphs
The spatial and temporal databases have been studied widely and intensively over years. In this paper, we study how to answer queries of finding the best departure time that minim...
Bolin Ding, Jeffrey Xu Yu, Lu Qin
ICDE
2003
IEEE
170views Database» more  ICDE 2003»
16 years 1 months ago
Keyword Proximity Search on XML Graphs
XKeyword provides efficient keyword proximity queries on large XML graph databases. A query is simply a list of keywords and does not require any schema or query language knowledg...
Vagelis Hristidis, Yannis Papakonstantinou, Andrey...
129
Voted
ICDE
2012
IEEE
240views Database» more  ICDE 2012»
13 years 2 months ago
Approximate Shortest Distance Computing: A Query-Dependent Local Landmark Scheme
—Shortest distance query between two nodes is a fundamental operation in large-scale networks. Most existing methods in the literature take a landmark embedding approach, which s...
Miao Qiao, Hong Cheng, Lijun Chang, Jeffrey Xu Yu
SDM
2010
SIAM
183views Data Mining» more  SDM 2010»
15 years 1 months ago
GraSS: Graph Structure Summarization
Large graph databases are commonly collected and analyzed in numerous domains. For reasons related to either space efficiency or for privacy protection (e.g., in the case of socia...
Kristen LeFevre, Evimaria Terzi