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EDBT
2008
ACM
160views Database» more  EDBT 2008»
14 years 11 months ago
Taxonomy-superimposed graph mining
New graph structures where node labels are members of hierarchically organized ontologies or taxonomies have become commonplace in different domains, e.g., life sciences. It is a ...
Ali Cakmak, Gultekin Özsoyoglu
SIGMOD
2010
ACM
239views Database» more  SIGMOD 2010»
15 years 2 months ago
Computing label-constraint reachability in graph databases
Our world today is generating huge amounts of graph data such as social networks, biological networks, and the semantic web. Many of these real-world graphs are edge-labeled graph...
Ruoming Jin, Hui Hong, Haixun Wang, Ning Ruan, Yan...
ICDM
2010
IEEE
228views Data Mining» more  ICDM 2010»
14 years 7 months ago
Multi-label Feature Selection for Graph Classification
Nowadays, the classification of graph data has become an important and active research topic in the last decade, which has a wide variety of real world applications, e.g. drug acti...
Xiangnan Kong, Philip S. Yu
CORR
2008
Springer
126views Education» more  CORR 2008»
14 years 10 months ago
Path following algorithm for the graph matching problem
We propose a convex-concave programming approach for the labeled weighted graph matching problem. The convex-concave programming formulation is obtained by rewriting the weighted ...
Mikhail Zaslavskiy, Francis Bach, Jean-Philippe Ve...
SERA
2007
Springer
15 years 3 months ago
A Formal Approach to Test the Robustness of Embedded Systems using Behaviour Analysis
Robustness is an important feature required for embedded systems. This paper presents a methodology to test robustness of such systems. We investigate system behaviour aspects. We...
Antoine Rollet, Fares Saad-Khorchef