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COMBINATORICS
2006
221views more  COMBINATORICS 2006»
14 years 9 months ago
Kernels of Directed Graph Laplacians
Abstract. Let G denote a directed graph with adjacency matrix Q and indegree matrix D. We consider the Kirchhoff matrix L = D - Q, sometimes referred to as the directed Laplacian. ...
John S. Caughman IV, J. J. P. Veerman
3DIM
2005
IEEE
15 years 3 months ago
Globally Convergent Range Image Registration by Graph Kernel Algorithm
Automatic range image registration without any knowledge of the viewpoint requires identification of common regions across different range images and then establishing point corr...
Radim Sára, Ikuko Shimizu Okatani, Akihiro ...
CIKM
2009
Springer
15 years 4 months ago
Learning to rank graphs for online similar graph search
Many applications in structure matching require the ability to search for graphs that are similar to a query graph, i.e., similarity graph queries. Prior works, especially in chem...
Bingjun Sun, Prasenjit Mitra, C. Lee Giles
BIBM
2007
IEEE
135views Bioinformatics» more  BIBM 2007»
15 years 4 months ago
Graph Kernel-Based Learning for Gene Function Prediction from Gene Interaction Network
Prediction of gene functions is a major challenge to biologists in the post-genomic era. Interactions between genes and their products compose networks and can be used to infer ge...
Xin Li, Zhu Zhang, Hsinchun Chen, Jiexun Li
BIBM
2009
IEEE
206views Bioinformatics» more  BIBM 2009»
15 years 4 months ago
Application of Kernel Functions for Accurate Similarity Search in Large Chemical Databases
Background: Similaritysearch in chemical structure databases is an important problem with many applications in chemical genomics, drug design, and efficient chemical probe screeni...
Xiaohong Wang, Jun Huan, Aaron M. Smalter, Gerald ...