Accurately predicting passenger flow at bus stops is essential for optimizing public transport operations, reducing energy consumption, and enhancing urban mobility. This paper presents a novel ...

Heterogeneous graph neural network learning hopes to express meaningful graph information through the neural network. Based on the obtained graph information to be applied to connection prediction, ...