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 ...

A previous installment discussed the centrality of network topology to an organization’s data security and outlined the legal framework and obligations incumbent upon many organizations in the U.S.

Map matching algorithms are fundamental to aligning raw positioning data, typically obtained through GPS, with digital road network databases. These techniques address inherent uncertainties in GPS ...