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EDBT
2008
ACM
160views Database» more  EDBT 2008»
13 years 9 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»
14 years 14 days 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»
13 years 5 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»
13 years 7 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
14 years 1 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