# ICGT —  International Conference on Graph Transformation

- **Submission deadline**: 2026-02-16
- **Notification date**: 2026-04-06
- **Conference date**: 2026-06-29
- **Location**: Rennes, France
- **Rankings**: CORE B
- **Conference Partner Index**: 62.9/100 (ranked #507, confidence 1.00, algorithm 1.1) — how this is computed: https://www.myhuiban.com/ranking
- **Trackers**: 0
- **Attendees**: 0
- **Canonical page**: https://www.myhuiban.com/conference/1679

## Acceptance history

| Year | Submitted | Accepted | Rate |
|---|---|---|---|
| 2021 | 26 | 14 | 53.8% |
| 2020 | 40 | 16 | 40% |
| 2019 | 22 | 12 | 54.5% |
| 2018 | 16 | 9 | 56.3% |
| 2017 | 23 | 14 | 60.9% |
| 2016 | 33 | 14 | 42.4% |
| 2015 | 27 | 15 | 55.6% |

## Call for papers

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)

## Related conferences

- GRAPH-HOC — International Conference on Applications of Graph Theory in Wireless Ad hoc Networks and Sensor Networks — https://www.myhuiban.com/conference/2002
- SIGIR — International Conference on Research and Development in Information Retrieval — https://www.myhuiban.com/conference/141
- AAAI — AAAI Conference on Artificial Intelligence — https://www.myhuiban.com/conference/408
- CVPR — IEEE Conference on Computer Vision and Pattern Recognition — https://www.myhuiban.com/conference/407
- ICRA — International Conference on Robotics and Automation — https://www.myhuiban.com/conference/421

## Related journals

- International Journal on Applications of Graph Theory in Wireless Ad hoc Networks and Sensor Networks — https://www.myhuiban.com/journal/256
- Journal of Graph Algorithms and Applications — https://www.myhuiban.com/journal/980
- IEEE Transactions on Multimedia — https://www.myhuiban.com/journal/152
- Knowledge-Based Systems — https://www.myhuiban.com/journal/227
- Software & Systems Modeling — https://www.myhuiban.com/journal/99

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Source: Conference Partner — https://www.myhuiban.com/conference/1679 (rankings reproduced from CCF / ICORE / QUALIS; data cached up to 1 hour)