Learn how graph theory can help you model, analyze, and optimize your supply chain material flow with concepts, methods, and tools. Agree & Join LinkedIn ...

Graph Neural Networks (GNNs) have recently emerged as an effective framework for representing and analyzing graph-structured data. GNNs have been applied to many real-world problems such as knowledge ...

Engineering. Graphing calculators are invaluable to engineers who use them for tasks such as analyzing circuit behavior or structural behavior under different loads and ... graphing calculators to ...

The objective of this project is to create a Knowledge Graph (KG) to support the analysis of competencies and competency queries (CQs). The project was developed using the iTelos methodology, focusing ...

The primary aim of process-network synthesis, or PNS in short, is to determine the best process network achieving a desired goal, e.g., producing a set of desired products or satisfy demands. PNS has ...

Knowledge graphs and ontologies have emerged as pivotal tools in process engineering, enabling the integration, simulation, and optimisation of complex industrial processes. By providing a ...

Value engineering is a systematic and organized approach to providing the necessary functions in a project at the lowest cost. Value engineering promotes the substitution of materials and methods ...

Neo4j, which offers a graph-centric database and related products, announced today that it raised $325 million at a more than $2 billion valuation in a Series F deal led by Eurazeo, with ...