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» The Complexity of Bottleneck Labeled Graph Problems
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SIGMOD
2010
ACM
260views Database» more  SIGMOD 2010»
14 years 11 days ago
Towards proximity pattern mining in large graphs
Mining graph patterns in large networks is critical to a variety of applications such as malware detection and biological module discovery. However, frequent subgraphs are often i...
Arijit Khan, Xifeng Yan, Kun-Lung Wu
CVPR
2009
IEEE
15 years 2 months ago
Minimizing Sparse Higher Order Energy Functions of Discrete Variables
Higher order energy functions have the ability to encode high level structural dependencies between pixels, which have been shown to be extremely powerful for image labeling pro...
Carsten Rother (Microsoft Research Cambridge), Pus...
SIGMOD
2011
ACM
241views Database» more  SIGMOD 2011»
12 years 10 months ago
Neighborhood based fast graph search in large networks
Complex social and information network search becomes important with a variety of applications. In the core of these applications, lies a common and critical problem: Given a labe...
Arijit Khan, Nan Li, Xifeng Yan, Ziyu Guan, Supriy...
STACS
2004
Springer
14 years 27 days ago
On Minimum Circular Arrangement
Motivated by a scheduling problem encountered in multicast environments, we study a vertex labelling problem, called Directed Circular Arrangement (DCA), that requires one to fin...
Murali K. Ganapathy, Sachin Lodha
KDD
2007
ACM
227views Data Mining» more  KDD 2007»
14 years 8 months ago
Fast best-effort pattern matching in large attributed graphs
We focus on large graphs where nodes have attributes, such as a social network where the nodes are labelled with each person's job title. In such a setting, we want to find s...
Hanghang Tong, Christos Faloutsos, Brian Gallagher...