This paper presents a graph transformation based approach to design pattern evolution. An evolution of a design pattern includes modifications of pattern elements, such as classes...
Abstract. In this short paper we describe the setup and results of a new initiative to compare graph transformation tools, carried out as part of the AGTIVE 2007 symposium on “Ap...
In this paper we describe an application of the theory of graph transformations to the practise of language design. In particular, we have defined the static and dynamic semantics ...
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 describe a method for proving the termination of graph transformation systems. The method is based on the fact that infinite reductions must include infinite `creation chains...