, players might value some relationships more than others or may have different levels of influence in the graph. These traits … are described by weights on graph edges or vertices, respectively. Relative comparisons on arbitrarily weighted graphs … have been studied for a variety of graphical games. Alternatively, graph labelings are functions that assign values to the …

. We use machine learning and Graph Convolutional Networks (GCNs) to optimize the maintenance schedules for railway …

spatial dependency of the transport network and traffic flow elements. Graph neural network (GNN) approaches have gained … chosen for generating waiting time data under different demand and supply scenarios. Graph Convolutional Network (GCN) and …