Advancing passenger next-station prediction via collaborative knowledge graph representational learning (opens in new tab)

Conventional passenger next station prediction models are often restricted by rigid graph structures, failing to account for the dynamic interactions between passengers and stations. This limitation results in an insufficient representation of travel patterns and associated knowledge. To address these shortcomings, this paper proposes a novel approach that integrates reinforcement learning with knowledge graphs to enable a holistic fusion of heterogeneous data. The proposed method enriches th...