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Graph Cube: On Warehousing and OLAP Multidimensional Networks

Summary: Graph Cube extends warehousing to large multidimensional networks, fusing attribute aggregation with structure summarization to enable OLAP on networks. It adds crossboid OLAP queries, fusing cube tech with network structure; validated on datasets. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4437
Venue
SIGMOD
Year
2011
Pagerank
9.6914395e-05
Overall Rank
2,048 | 85.76%
DOI
-

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Showing 11 of 11 cited papers.

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

Rank Cited Paper Year Venue Pagerank
11 Implementing Data Cubes Efficiently 1996 SIGMOD 0.0011708144
57 Discovering Large Dense Subgraphs in Massive Graphs 2005 VLDB 0.00065491112
59 Sampling-Based Estimation of the Number of Distinct Values of an Attribute 1995 VLDB 0.00064501896
313 Graph Clustering Based on Structural/Attribute Similarities 2009 VLDB 0.00028097557
388 Graph Summarization with Bounded Error 2008 SIGMOD 0.00024662272
435 Efficient Aggregation for Graph Summarization 2008 SIGMOD 0.00023260172
3,074 On the Complexity of the View-Selection Problem 1999 PODS 7.6110034e-05
3,157 High-Dimensional OLAP: A Minimal Cubing Approach 2004 VLDB 7.4656511e-05
3,372 OLAP over Imprecise Data with Domain Constraints 2007 VLDB 7.1683982e-05
4,122 OLAP on Sequence Data 2008 SIGMOD 6.4350628e-05
6,959 Supporting OLAP Operations over Imperfectly Integrated Taxonomies 2008 SIGMOD 4.8857059e-05
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