ICGT welcomes submissions in all topics on graph transformation including, but not limited to:

Theoretical Results on, for example:

    Mathematical models for and approaches to graph transformation
    Analysis and verification of graph transformation systems
    Graph grammars and graph languages

Application of Graph Transformations, for example:

    Formal Methods and Graph Transformation
        Automata on graphs and parsing of graph languages
        Logical aspects of graph transformation
        Computational models based on graphs
        Structuring and modularisation of graph transformation
        Hierarchical graphs and decomposition of graphs
        Parallel, concurrent, and distributed graph transformation
        Term graph and string diagram rewriting
        Bigraphs and bigraphical reactive systems
        Petri nets and other models of concurrency
        Model checking, program analysis and verification, simulation and animation

    Tools and Development environments
        Graph transformation languages and tool support
        Quantum computing, e.g. quantum circuits, graph minor embedding techniques
        Syntax, semantics and implementation of programming languages, including domain-specific and visual languages
        Business process models and notations
        Scene graphs, test environments,test configuration generation
        Graph databases and graph queries, knowledge bases
        Model-driven development and model transformation

    Machine learning and AI, GNNs
        Graph-based machine learning, including graph neural networks and models of rule inference
        Graph transformation and artificial intelligence (e.g., AI for graph transformations, applying graph transformations in AI engineering and search-based software engineering)

    Applications
        Efficient algorithms (e.g. pattern matching, graph traversal, network analysis)
        Applications and case studies in software engineering (e.g. software architectures, refactoring, access control, and service-orientation)
        Applications to computing paradigms (e.g. bio-inspired, quantum, ubiquitous, and visual)