GCM 2020 - 11th 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 the International Workshop GCM 2020 is to bring together researchers interested in all aspects of computation models based on graphs and graph transformation. It promotes the cross-fertilizing exchange of ideas and experiences among senior and young researchers from different communities interested in the foundations, applications, and implementations of graph computation models and related areas. Previous editions of 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), in Wien, Austria (GCM 2016), in Marburg, Germany (GCM 2017), in Toulouse, France (GCM 2018), and in Eindhoven, The Netherlands (GCM 2019).
Topics of Interest
GCM 2020 solicits papers on all aspects of graph computation models. This includes but is not limited to the following topics:
Foundations
Models of graph transformation
Analysis and verification of graph transformation systems
Parallel, concurrent, and distributed graph transformation
Term graph rewriting
Formal graph languages
Applications
Graph-based programming models and visual programming
Model-driven engineering
Evolutionary computation
Software architectures, validation and evolution
Databases
Graph-based security models
Workflow and business processes
Social network analysis
Bioinformatics and computational chemistry
Quantum computing
Case-studies