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.

DynIMTS replaces static graphs with instance-attention that updates edge weights on the fly, delivering SOTA imputation and P12 classification ...

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 ...

In today’s evidence-driven world, there is increasing demand for researchers with the skills to design, conduct, and evaluate studies that help institutions and schools improve their decision-making ...

Research & Evaluation Methodology (REM) is a community for intellectually curious, and academically motivated students who want to learn about quantitative research methods for analyzing research ...