To keep an SLM relevant and accurate, you still need to feed it fresh, contextual data. That’s where graph technology comes ...

Graph convolutional networks (GCNs) are fundamental graph neural networks used for solving node classification problems in graph-structured data. GCNs have been reported to be vulnerable to ...

This paper addresses the crucial challenge of maintaining the directed graph topology in multi-robot systems, particularly when operating under limited field-of-view constraints and with a lack of ...