...) combined with a Graph Neural Network (GNN) is developed. This model uses a fine-grained neighbor-extension strategy to incrementally construct transit routes, optimizing a tunable multi-objective cost function that balances passenger experience and operational cost. Findings Evaluations using a decade...

...Dun Ao; Qian Cao; Xiaofeng Wang Purpose This paper addresses the limitations of current graph neural network-based recommendation systems, which often neglect the integration of side information and the modeling of complex high-order interactions among nodes. The research motivation stems from...