Abstract: Networks appear across various domains, and identifying central nodes in temporal networks is more challenging than in static networks. Temporal betweenness centrality is the widely used ...

Abstract: Explanations of deep learning fault diagnosis models have been crucial for risk management and subsequent maintenance actions. Furthermore, purely data-driven approaches for fault diagnosis ...