Abstract: The graph neural networks (GNNs) have drawn much attention for predicting the remaining useful life (RUL) due to their excellent performance in processing correlation relationship among data ...

Graph neural networks (GNN) rely on graph operations that include neural network training for various graph related tasks. Recently, several attempts have been made to apply the GNNs to functional ...

Photoshop cc tutorial showing how to create stunning Spirographs from signatures & typed words. In addition are the steps to record the Action that will automatically create Spirographs. Watch my next ...

Abstract: The isomorphism problem, crucial in network analysis, involves analyzing both low-order and high-order structural information. Graph isomorphism algorithms focus on structural equivalence to ...

ABSTRACT: To effectively evaluate a system that performs operations on UML class diagrams, it is essential to cover a large variety of different types of diagrams. The coverage of the diagram space ...

Stella Osoba is the Senior Editor of trading and investing at Investopedia. She co-founded and chaired Women in Technical Analysis. She has 15+ years of experience as a financial writer and technical ...

Blood sugar management is crucial for people with diabetes, but target levels vary based on individual factors, not just age. While there are general guidelines for blood sugar levels based on age ...

If you’re like me, you’ve heard plenty of talk about entity SEO and knowledge graphs over the past year. But when it comes to implementation, it’s not always clear which components are worth the ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Cory Benfield discusses the evolution of ...