Nov 17, 2022 · It aims to recommend a travel plan with various transport modes, such as bus, metro, taxi, bicycle, and a hybrid. Analysis of real-world large- ...

Nov 19, 2022 · Extensive experimental results on a large-scale real-world dataset demonstrate that the performance of THAN outperforms five baselines. Index ...

This work designs a novel graph embedding method to represent the correlation between the origin and the destination, as well as therelation between ...

Dec 9, 2024 · Next, a heterogeneous graph from large-scale data is built to describe the relationship between users, OD pairs, and transport modes. Then, we ...

Dec 12, 2024 · To this end, we propose a multi-modal ${T}$ ransportation recommendation algorithm with ${H}$ eterogeneous graph ${A}$ ttention ${N}$ etworks ( ...

THAN: Multimodal Transportation Recommendation With Heterogeneous Graph Attention Networks.IEEE Trans. Intell. Transp. Syst. 24(2): 1533-1543 (2023)

This study introduces a novel approach for enhancing multi-modal transportation recommendation systems: the Contrastive De-biased Heterogeneous Graph Neural ...

THAN: Multimodal Transportation Recommendation With Heterogeneous Graph Attention Networks. January 2022 · IEEE Transactions on Intelligent Transportation ...

Multimodal transportation recommendation: Embedding travel intention and transit reliability by heterogeneous graph attention network.

In this review, we present a thorough examination of GATs, covering both diverse approaches and a wide range of applications.