3 posts
Simple graph neural networks miss two features of Petri nets — loops and token conservation — which our new research shows can be incorporated to improve downstream performance
What published results show about training and evaluating models on generated data, and what they suggest for process histories
Technical challenges and relevance to a Process Foundation Model
