Applying Graph Neural Networks to Numerical Data: A Roadmap for Cementitious Materials
Analysis
This ArXiv article explores the application of Graph Neural Networks (GNNs) to numerical data, specifically within the context of cementitious materials. The paper's contribution lies in providing a roadmap, suggesting practical steps and potential benefits of this approach for materials science.
Key Takeaways
Reference / Citation
View Original"The research focuses on the application of GNNs to numerical data related to cementitious materials."