Visit our main site
ResearchBlogDocs

Dev Blog/AI

2 posts


Teaching neural networks to understand Petri nets
Geri Skenderi

Teaching neural networks to understand Petri nets

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

Yannis Zachos

Inverse problems in Agent-Based Models

Technical challenges and relevance to a Process Foundation Model

Inverse problems in Agent-Based Models

Join our community of HASH developers

Explore open rolesCareers
Star on GitHubGitHub1.7k
Get in touchContact

Open-source resources and tools for developers who want to build the future of decision-making with HASH

Learn

Dev Blog

Dev Docs

Projects

#HASH

hgres

SemType

View all

Get Involved

Start using HASH

Contribute

Careers

Contact Us

Privacy

Legal