Proceedings 16th International Workshop on Graph Computation Models
Leen Lambers (Brandenburg University of Technology Cottbus-Senftenberg), Oszk\'ar Semer\'ath (Budapest University of Technology, Economics)

TL;DR
This paper presents the post-proceedings of the 16th International Workshop on Graph Computation Models, highlighting recent advances and discussions in graph-based computation theories and applications across various scientific domains.
Contribution
It compiles recent research, ideas, and discussions from the GCM 2025 workshop, fostering cross-disciplinary exchange on graph computation models.
Findings
Advances in graph computation theories
New applications in science and engineering
Enhanced understanding of graph transformation models
Abstract
This volume contains the post-proceedings of the Sixteenth International Workshop on Graph Computation Models (GCM 2025). The workshops took place in Koblenz, Germany on June 10 as part of STAF (Software Technologies: Applications and Foundations). Graphs are common mathematical structures that are visual and intuitive. They constitute a natural and seamless way for system modeling in science, engineering, and beyond, including computer science, biology, and business process modeling. 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-fertilizing exchange of ideas and experiences among senior and young researchers from the different…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsGraph Theory and Algorithms · Advanced Graph Neural Networks · Model-Driven Software Engineering Techniques
