We propose a new machine learning paradigm called Graph Transformer Networks that extends the applicability of gradient-based learning algorithms to systems composed of modules th...
We present how to efficiently mine a set of directed acyclic graphs (DAGs) for unconnected, both multi- or single-rooted, and induced fragments. With a new canonical form that is ...
This work presents a framework and a Graphical User Interface, Viskit, for the creation and analysis of component-based Discrete Event Simulation models. Two primary elements of t...
The paper presents an approach to process scheduling for embedded systems. Target architectures consist of several processors and ASICs connected by shared busses. We have develop...
Petru Eles, Krzysztof Kuchcinski, Zebo Peng, Alexa...
This paper presents a graph matching model for the software architecture recovery problem. Because of their expressiveness, the graphs have been widely used for representing both ...