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» Experiments on Graph Clustering Algorithms
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SIGMOD
2010
ACM
196views Database» more  SIGMOD 2010»
13 years 9 months ago
GAIA: graph classification using evolutionary computation
Discriminative subgraphs are widely used to define the feature space for graph classification in large graph databases. Several scalable approaches have been proposed to mine disc...
Ning Jin, Calvin Young, Wei Wang
ICML
2008
IEEE
14 years 10 months ago
Graph transduction via alternating minimization
Graph transduction methods label input data by learning a classification function that is regularized to exhibit smoothness along a graph over labeled and unlabeled samples. In pr...
Jun Wang, Tony Jebara, Shih-Fu Chang
TKDE
2008
125views more  TKDE 2008»
13 years 9 months ago
Discovering and Explaining Abnormal Nodes in Semantic Graphs
An important problem in the area of homeland security is to identify abnormal or suspicious entities in large datasets. Although there are methods from data mining and social netwo...
Shou-de Lin, Hans Chalupsky
GLOBECOM
2007
IEEE
14 years 3 months ago
Graph Theoretical Analysis of Opportunistic Scheduling Policy for Wireless Ad Hoc Networks
— 1 Taking advantage of the independent fading channel conditions among multiple wireless users, opportunistic transmissions schedule the user with the instantaneously best condi...
Qing Chen, Fei Ye, Zhisheng Niu
LCPC
2009
Springer
14 years 1 months ago
Using the Meeting Graph Framework to Minimise Kernel Loop Unrolling for Scheduled Loops
This paper improves our previous research effort [1] by providing an efficient method for kernel loop unrolling minimisation in the case of already scheduled loops, where circular...
Mounira Bachir, David Gregg, Sid Ahmed Ali Touati