Revisiting Mobility Modeling with Graph: A Graph Transformer Model for Next Point-of-Interest Recommendation

Author:

Xu Xiaohang1ORCID,Suzumura Toyotaro1ORCID,Yong Jiawei2ORCID,Hanai Masatoshi1ORCID,Yang Chuang1ORCID,Kanezashi Hiroki1ORCID,Jiang Renhe1ORCID,Fukushima Shintaro2ORCID

Affiliation:

1. The University of Tokyo, Tokyo, Japan

2. Toyota Motor Corporation, Tokyo, Japan

Publisher

ACM

Reference53 articles.

1. Content-Aware Hierarchical Point-of-Interest Embedding Model for Successive POI Recommendation

2. DualSIN

3. Zhao Chen , Vincent Casser , Henrik Kretzschmar , and Dragomir Anguelov . 2022. GradTail: Learning Long-Tailed Data Using Gradient-based Sample Weighting. arXiv preprint arXiv:2201.05938 ( 2022 ). Zhao Chen, Vincent Casser, Henrik Kretzschmar, and Dragomir Anguelov. 2022. GradTail: Learning Long-Tailed Data Using Gradient-based Sample Weighting. arXiv preprint arXiv:2201.05938 (2022).

4. Chen Cheng Haiqin Yang Michael R Lyu and Irwin King. 2013. Where you like to go next: Successive point-of-interest recommendation. In Twenty-Third international joint conference on Artificial Intelligence. Chen Cheng Haiqin Yang Michael R Lyu and Irwin King. 2013. Where you like to go next: Successive point-of-interest recommendation. In Twenty-Third international joint conference on Artificial Intelligence.

5. Zun Liang Chuan , Wan Nur Syahidah Wan Yusoff , Mohd Khairul Bazli Mohd Aziz, Azlyna Senawi, and Tan Lit Ken. 2019 . A comparison study between Doane's and Freedman-Diaconis' binning rule in characterizing potential water resources availability. In Journal of Physics: Conference Series, Vol. 1366 . IOP Publishing , 012103. Zun Liang Chuan, Wan Nur Syahidah Wan Yusoff, Mohd Khairul Bazli Mohd Aziz, Azlyna Senawi, and Tan Lit Ken. 2019. A comparison study between Doane's and Freedman-Diaconis' binning rule in characterizing potential water resources availability. In Journal of Physics: Conference Series, Vol. 1366. IOP Publishing, 012103.

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