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» Non-negative graph embedding
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92
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PKDD
2010
Springer
155views Data Mining» more  PKDD 2010»
14 years 11 months ago
Latent Structure Pattern Mining
Pattern mining methods for graph data have largely been restricted to ground features, such as frequent or correlated subgraphs. Kazius et al. have demonstrated the use of elaborat...
Andreas Maunz, Christoph Helma, Tobias Cramer, Ste...
CODES
2010
IEEE
14 years 10 months ago
Worst-case performance analysis of synchronous dataflow scenarios
Synchronous Dataflow (SDF) is a powerful analysis tool for regular, cyclic, parallel task graphs. The behaviour of SDF graphs however is static and therefore not always able to ac...
Marc Geilen, Sander Stuijk
106
Voted
WWW
2011
ACM
14 years 7 months ago
OntoTrix: a hybrid visualization for populated ontologies
Most Semantic Web data visualization tools structure the representation according to the concept definitions and interrelations that constitute the ontology’s vocabulary. Insta...
Benjamin Bach, Emmanuel Pietriga, Ilaria Liccardi,...
124
Voted
STOC
2009
ACM
144views Algorithms» more  STOC 2009»
16 years 1 months ago
Homology flows, cohomology cuts
We describe the first algorithm to compute maximum flows in surface-embedded graphs in near-linear time. Specifically, given a graph embedded on a surface of genus g, with two spe...
Erin W. Chambers, Jeff Erickson, Amir Nayyeri
172
Voted
SIGMOD
2008
ACM
215views Database» more  SIGMOD 2008»
16 years 22 days ago
CSV: visualizing and mining cohesive subgraphs
Extracting dense sub-components from graphs efficiently is an important objective in a wide range of application domains ranging from social network analysis to biological network...
Nan Wang, Srinivasan Parthasarathy, Kian-Lee Tan, ...