Automated Inference of Graph Transformation Rules

arXiv:2404.02692v1 Announce Type: cross
Abstract: The explosion of data available in life sciences is fueling an increasing demand for expressive models and computational methods. Graph transformation is a model for dynamic systems with a large variety of applications. We introduce a novel method of the graph transformation model construction, combining generative and dynamical viewpoints to give a fully automated data-driven model inference method.
The method takes the input dynamical properties, given as a "snapshot" of the dynamics encoded by explicit …

abstract applications arxiv automated computational construction cs.dm cs.lg data demand dynamic generative graph inference life life sciences novel q-bio.mn rules systems the graph transformation type