***** CALL FOR PAPERS *****
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13th International Workshop on Graph Computation Models (GCM 2022)
4-8 July 2022 (exact day TBC)
Venue: Nantes, France
Web site: https://gcm2022.github.io/
Part of STAF 2022 (https://staf2022.univ-nantes.io/)
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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 International Workshop on Graph Computation Models aims at bringing 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 young and senior researchers from different communities who are interested in the foundations, applications, and implementations of graph computation models and related areas.
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** IMPORTANT DATES **
Abstract Submission: 20 April 2022
Paper Submission: 27 April 2022
Notification: 25 May 2022
Final version due: 15 June 2022
Workshop: 4–8 July 2022 (exact day TBC)
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** TOPICS **
GCM 2022 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
Program analysis and transformation
Graph-based machine learning, including graph neural networks and models of rule inference
Model-driven engineering and model transformation
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
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** SUBMISSION TYPES **
Authors are invited to submit papers in two possible categories:
(1) Regular papers of at most 16 pages describing innovative contributions.
(2) Position papers, system descriptions, or work in progress of 6 to 12 pages.
Papers in PDF format should be submitted electronically via the EasyChair system site (https://easychair.org/conferences/?conf=gcm2022). Submissions must use the EPTCS LaTeX style (http://style.eptcs.org/). Simultaneous submission to other conferences with proceedings, as well as submission of material that has already been published elsewhere is not allowed. The page limits include references. An optional appendix can be added if this is useful for the reviewing process.
All submissions will be reviewed by the programme committee. Electronic proceedings will be available at the time of the workshop. Selected authors will be invited to contribute to post-proceedings to be published online by Electronic Proceedings in Theoretical Computer Science (EPTCS, http://www.eptcs.org/).
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** INVITED SPEAKER **
Elizabeth Dinella (University of Pennsylvania, USA) – graph-based machine learning in program transformation and analysis
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** PROGRAMME COMMITTEE **
Confirmed programme committee members at the time of this call include:
Andrea Corradini, Università di Pisa, Italy
Frank Drewes, Umeå University, Sweden
Rachid Echahed, CNRS and University of Grenoble, France
Annegret Habel, University of Oldenburg, Germany
Reiko Heckel (co-Chair), University of Leicester, UK
Berthold Hoffmann, University of Bremen, Germany
Gabor Karsai, Vanderbilt University, USA
Barbara König, University of Duisburg-Essen, Germany
Leen Lambers, Brandenburgische Technische Universität Cottbus-Senftenberg, Germany
Mark Minas, Universität der Bundeswehr München, Germany
Fernando Orejas, Universitat Politècnica de Catalunya, Spain
Detlef Plump, University of York, UK
Chris Poskitt (co-Chair), Singapore Management University, Singapore
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** ORGANISERS **
Reiko Heckel (rh122@leicester.ac.uk)
Chris Poskitt (cposkitt@smu.edu.sg)
For more information, please visit the official workshop website at: https://gcm2022.github.io/
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