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» Survey of graph database models
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KDD
2009
ACM
172views Data Mining» more  KDD 2009»
14 years 1 months ago
Learning dynamic temporal graphs for oil-production equipment monitoring system
Learning temporal graph structures from time series data reveals important dependency relationships between current observations and histories. Most previous work focuses on learn...
Yan Liu, Jayant R. Kalagnanam, Oivind Johnsen
ICDE
2012
IEEE
232views Database» more  ICDE 2012»
11 years 11 months ago
Horton: Online Query Execution Engine for Large Distributed Graphs
—Large graphs are used in many applications, such as social networking. The management of these graphs poses new challenges because such graphs are too large to fit on a single ...
Mohamed Sarwat, Sameh Elnikety, Yuxiong He, Gabrie...
PVLDB
2010
129views more  PVLDB 2010»
13 years 6 months ago
iGraph: A Framework for Comparisons of Disk-Based Graph Indexing Techniques
Graphs are of growing importance in modeling complex structures such as chemical compounds, proteins, images, and program dependence. Given a query graph Q, the subgraph isomorphi...
Wook-Shin Han, Jinsoo Lee, Minh-Duc Pham, Jeffrey ...
CIKM
2008
Springer
13 years 10 months ago
The query-flow graph: model and applications
Query logs record the queries and the actions of the users of search engines, and as such they contain valuable information about the interests, the preferences, and the behavior ...
Paolo Boldi, Francesco Bonchi, Carlos Castillo, De...
PODS
2006
ACM
127views Database» more  PODS 2006»
14 years 8 months ago
Evolution of page popularity under random web graph models
The link structure of the Web can be viewed as a massive graph. The preferential attachment model and its variants are well-known random graph models that help explain the evoluti...
Rajeev Motwani, Ying Xu 0002