AAGNN: Adaptive Airport Graph Neural Network for flight sequence prediction

Kaiquan Cai, Yuejingyan Wang, Yang Yang, Shengsheng Qian

Abstract: Highlights•Flight sequence prediction transformed into a session-based recommendation task.•Airport network features are used to model the interactions among flight sequences.•The adaptive method guarantees the sequence update as network properties change.•The proposed approach outperforms on two real-world datasets in China.