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» On Partitional Labelings of Graphs
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ML
2010
ACM
185views Machine Learning» more  ML 2010»
13 years 5 months ago
Learning to rank on graphs
Graph representations of data are increasingly common. Such representations arise in a variety of applications, including computational biology, social network analysis, web applic...
Shivani Agarwal
DAM
2008
90views more  DAM 2008»
13 years 11 months ago
Polarity of chordal graphs
Polar graphs are a common generalization of bipartite, cobipartite, and split graphs. They are defined by the existence of a certain partition of vertices, which is NPcomplete to ...
Tinaz Ekim, Pavol Hell, Juraj Stacho, Dominique de...
ICML
2005
IEEE
14 years 11 months ago
Error bounds for correlation clustering
This paper presents a learning theoretical analysis of correlation clustering (Bansal et al., 2002). In particular, we give bounds on the error with which correlation clustering r...
Thorsten Joachims, John E. Hopcroft
SC
2005
ACM
14 years 4 months ago
A Scalable Distributed Parallel Breadth-First Search Algorithm on BlueGene/L
Many emerging large-scale data science applications require searching large graphs distributed across multiple memories and processors. This paper presents a distributed breadth...
Andy Yoo, Edmond Chow, Keith W. Henderson, Will Mc...
ML
2010
ACM
141views Machine Learning» more  ML 2010»
13 years 9 months ago
Relational retrieval using a combination of path-constrained random walks
Scientific literature with rich metadata can be represented as a labeled directed graph. This graph representation enables a number of scientific tasks such as ad hoc retrieval o...
Ni Lao, William W. Cohen