GCM 2017 - Eighth International Workshop on Graph Computation Models

Graphs are common mathematical structures which are visual and intuitive. They constitute a natural and seamless way for system modeling in science, engineering and beyond, including computer science, life sciences, business processes, etc. Graph computation models constitute a class of very high-level models where graphs are first-class citizens. They generalize classical computation models based on strings or trees, such as Chomsky grammars or term rewrite systems. Their mathematical foundation, in addition to their visual nature, facilitates specification, validation and analysis of complex systems. A variety of computation models have been developed using graphs and rule-based graph transformation. These models include features of programming languages and systems, paradigms for software development, concurrent calculi, local computations and distributed algorithms, and biological and chemical computations.
The aim of GCM 2017 is to bring together researchers interested in all aspects of computation models based on graphs and graph transformation techniques. The workshop promotes the cross-fertilizing exchange of ideas and experiences among researchers and students from the different communities interested in the foundations, applications, and implementations of graph computation models and related areas. Previous editions of the GCM series were held in Natal, Brazil (GCM 2006), in Leicester, UK (GCM 2008), in Enschede, The Netherlands (GCM 2010), in Bremen, Germany (GCM 2012), in York, UK (GCM 2014), in L'Aquila, Italy (GCM 2015), and in Wien, Austria (GCM 2016).
Topics
GCM 2017 solicits papers on all aspects of graph computation models. This includes but is not limited to the following topics.
Foundations:
Models of graph transformation
Parallel, concurrent, and distributed graph transformation
Term graph rewriting
Logics on graphs and graph transformation
Formal graph languages
Analysis and verification of graph transformation systems
Foundations of programming languages
Applications:
Software architectures
Software validation
Software evolution
Visual programming
Graph-based security models
Design and implementation of programming languages
Workflow and business processes
Model-driven engineering
Dynamic graph algorithms
Bioinformatics and system biology
Social network analysis
Case studies