Predictive analytics for supply chain resilience in urban infrastructure networks using graph convolutional networks

Urban infrastructure networks underpin modern supply chain operations, yet their vulnerability to disruptions poses significant challenges to urban resilience; understanding and predicting such disruptions requires analytical frameworks that jointly leverage network topology and flow dynamics. This ... View More