Proceedings of the Thirteenth International Workshop on Graph Computation Models
Reiko Heckel (University of Leicester), Christopher M. Poskitt, (Singapore Management University)

TL;DR
This paper compiles research from the 13th International Workshop on Graph Computation Models, highlighting advances in graph-based computation theories, applications, and models across various scientific disciplines.
Contribution
It presents a collection of recent research findings and discussions on graph computation models, fostering interdisciplinary exchange and advancing the theoretical and practical understanding of graph-based computation.
Findings
Enhanced understanding of graph transformation techniques
New models for system simulation using graphs
Applications in biology, engineering, and computer science
Abstract
This volume contains the post-proceedings of the Thirteenth International Workshop on Graph Computation Models (GCM 2022). The workshop took place in Nantes, France on 6th July 2022 as part of STAF 2022 (Software Technologies: Applications and Foundations). Graphs are common mathematical structures that are visual and intuitive. They constitute a natural and seamless way for system modelling in science, engineering, and beyond, including computer science, biology, and business process modelling. Graph computation models constitute a class of very high-level models where graphs are first-class citizens. The aim of the International GCM Workshop series is to bring together researchers interested in all aspects of computation models based on graphs and graph transformation. It promotes the cross-fertilising exchange of ideas and experiences among senior and young researchers from the…
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