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» Clustering on Complex Graphs
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ICPADS
1998
IEEE
13 years 11 months ago
Symbolic Partitioning and Scheduling of Parameterized Task Graphs
The DAG-based task graph model has been found effective in scheduling for performance prediction and optimization of parallel applications. However the scheduling complexity and s...
Michel Cosnard, Emmanuel Jeannot, Tao Yang
JMLR
2006
124views more  JMLR 2006»
13 years 7 months ago
Fast SDP Relaxations of Graph Cut Clustering, Transduction, and Other Combinatorial Problem
The rise of convex programming has changed the face of many research fields in recent years, machine learning being one of the ones that benefitted the most. A very recent develop...
Tijl De Bie, Nello Cristianini
ACMSE
2006
ACM
14 years 1 months ago
Discovering communities in complex networks
We propose an efficient and novel approach for discovering communities in real-world random networks. Communities are formed by subsets of nodes in a graph, which are closely rela...
Hemant Balakrishnan, Narsingh Deo
ISCAPDCS
2007
13 years 8 months ago
A Node-to-set cluster-fault-tolerant disjoint routing algorithm in pancake graphs
With rapid increase of parallel computation systems in their sizes, it is inevitable to develop algorithms that are applicable even if there exist faulty elements in the systems. ...
Tatsuro Watanabe, Keiichi Kaneko, Shietung Peng
WAW
2009
Springer
138views Algorithms» more  WAW 2009»
14 years 2 months ago
Information Theoretic Comparison of Stochastic Graph Models: Some Experiments
The Modularity-Q measure of community structure is known to falsely ascribe community structure to random graphs, at least when it is naively applied. Although Q is motivated by a ...
Kevin J. Lang