Exploring Human Mobility for Multi-Pattern Passenger Prediction: A Graph Learning Framework-Reference-Cited by-同舟云学术

Exploring Human Mobility for Multi-Pattern Passenger Prediction: A Graph Learning Framework

Author:

Kong Xiangjie¹^ORCID,Wang Kailai¹^ORCID,Hou Mingliang¹^ORCID,Xia Feng²^ORCID,Karmakar Gour³^ORCID,Li Jianxin⁴^ORCID

Affiliation:

1. School of Software, Dalian University of Technology, Dalian, China

2. School of Engineering, IT and Physical Sciences, Federation University Australia, Ballarat, VIC, Australia

3. School of Engineering, IT and Physical Sciences, Federation University Australia, Churchill, VIC, Australia

4. School of IT, Deakin University, Melbourne, VIC, Australia

Funder

National Natural Science Foundation of China

Zhejiang Provincial Natural Science Foundation

Fundamental Research Funds for the Provincial Universities of Zhejiang

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

Reference49 articles.

1. Variational graph auto-encoders;kipf;Proc NIPS Workshop Bayesian Deep Learn,2016

2. Spectral networks and locally connected networks on graphs;bruna;Proc Int Conf Learn Represent (ICLR),2014

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