Abstract: This paper focuses on the integration of Graph Convolution Network and Graph Attention Network, two cutting-edge models in graph neural networks, aiming to explore a new paradigm of graph ...

Conclusions: This study represents a pioneering effort in using LLMs, particularly GPT-4.0, to construct a comprehensive sepsis knowledge graph. The innovative application of prompt engineering, ...

Abstract: Accurate and continuous extraction of ice layer structures from airborne ice sounding radar data is critical for analyzing subglacial hydrothermal environments to support key applications ...

Objectives To test whether individuals identified as having a likely personality disorder and high reoffending risk, who opted in to psychologically informed support in minimum security prisons ...