As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...

Understanding the network organization of the brain has been a long-standing challenge for neuroscience. In the past decade, developments in graph theory have provided many new methods for ...

The exocyst complex is a highly conserved hetero‐octameric assembly that plays a fundamental role in the tethering of secretory vesicles to the plasma membrane, thereby directing the process of ...

Part 1 looks at the basic problems of translating MATLAB to C. Part 3 examines the verification process and makes the case for automatic C generation. It will be published Thursday, December 13. In ...