Graph neural networks (GNNs) have rapidly emerged as a central methodology for analysing complex datasets presented as graphs, where entities are interconnected through diverse relationships. By ...

Process Network Synthesis (PNS) and the associated P-graph methodology represent a rigorous, graph‐theoretic framework for the systematic design, analysis and optimisation of process systems.

A super geeky topic, which could have super important repercussions in the real world. That description could very well fit anything from cold fusion to knowledge graphs, so a bit of unpacking is in ...