IPF-HMGNN: A novel integrative prediction framework for metro passenger flow.

METcross: A framework for short-term forecasting of cross-city metro passenger flow.

Estimating urban rail transit passenger inflow caused by special events occurrences fusing multi-source data.

MOHP-EC: A Multiobjective Hierarchical Prediction Framework for Urban Rail Transit Passenger Flow.

Mul-DesLSTM: An integrative multi-time granularity deep learning prediction method for urban rail transit short-term passenger flow.

Research on Sample Selection of Urban Rail Transit Passenger Flow Forecasting Based on SCBP Algorithm.