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» Graph Database Indexing Using Structured Graph Decomposition
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DATE
2007
IEEE
146views Hardware» more  DATE 2007»
14 years 2 months ago
Data-flow transformations using Taylor expansion diagrams
Abstract: An original technique to transform functional representation of the design into a structural representation in form of a data flow graph (DFG) is described. A canonical,...
Maciej J. Ciesielski, Serkan Askar, Daniel Gomez-P...
AROBOTS
2011
13 years 2 months ago
Human motion database with a binary tree and node transition graphs
— Database of human motion has been widely used for recognizing human motion and synthesizing humanoid motions. In this paper, we propose a data structure for storing and extract...
Katsu Yamane, Yoshifumi Yamaguchi, Yoshihiko Nakam...
PKDD
2010
Springer
235views Data Mining» more  PKDD 2010»
13 years 5 months ago
Online Structural Graph Clustering Using Frequent Subgraph Mining
The goal of graph clustering is to partition objects in a graph database into different clusters based on various criteria such as vertex connectivity, neighborhood similarity or t...
Madeleine Seeland, Tobias Girschick, Fabian Buchwa...
AUSAI
2005
Springer
14 years 1 months ago
Conditioning Graphs: Practical Structures for Inference in Bayesian Networks
Abstract. Programmers employing inference in Bayesian networks typically rely on the inclusion of the model as well as an inference engine into their application. Sophisticated inf...
Kevin Grant, Michael C. Horsch
ECEASST
2006
305views more  ECEASST 2006»
13 years 7 months ago
The ParMol Package for Frequent Subgraph Mining
Mining for frequent subgraphs in a graph database has become a popular topic in the last years. Algorithms to solve this problem are used in chemoinformatics to find common molecul...
Thorsten Meinl, Marc Wörlein, Olga Urzova, In...