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Graph Data Management and Mining: A Survey of Algorithms and Applications
other
Author(s):
Charu C. Aggarwal
,
Haixun Wang
Publication date
(Online):
January 18 2010
Publisher:
Springer US
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Exponential Random Graph Models
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An Efficient Heuristic Procedure for Partitioning Graphs
B. Kernighan
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S Lin
(1970)
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An Algorithm for Subgraph Isomorphism
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Cost-effective outbreak detection in networks
Jure Leskovec
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Andreas Krause
,
Carlos Guestrin
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(2007)
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Book Chapter
Publication date (Print):
2010
Publication date (Online):
January 18 2010
Pages
: 13-68
DOI:
10.1007/978-1-4419-6045-0_2
SO-VID:
8cb46e7f-25e3-43b6-94cf-4a17ee8ddca3
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Book chapters
pp. 1
An Introduction to Graph Data
pp. 13
Graph Data Management and Mining: A Survey of Algorithms and Applications
pp. 69
Graph Mining: Laws and Generators
pp. 125
Query Language and Access Methods for Graph Databases
pp. 161
Graph Indexing
pp. 217
Exact and Inexact Graph Matching: Methodology and Applications
pp. 249
A Survey of Algorithms for Keyword Search on Graph Data
pp. 337
Graph Classification
pp. 365
Mining Graph Patterns
pp. 393
A Survey on Streaming Algorithms for Massive Graphs
pp. 421
A Survey of Privacy-Preservation of Graphs and Social Networks
pp. 455
A Survey of Graph Mining for Web Applications
pp. 487
Graph Mining Applications to Social Network Analysis
pp. 515
Software-Bug Localization with Graph Mining
pp. 547
A Survey of Graph Mining Techniques for Biological Datasets
pp. 581
Trends in Chemical Graph Data Mining
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