STMGCN: Mobile Edge Computing-Empowered Vessel Trajectory Prediction Using Spatio-Temporal Multigraph Convolutional Network-Reference-Cited by-同舟云学术

STMGCN: Mobile Edge Computing-Empowered Vessel Trajectory Prediction Using Spatio-Temporal Multigraph Convolutional Network

Author:

Liu Ryan Wen¹^ORCID,Liang Maohan¹^ORCID,Nie Jiangtian²^ORCID,Yuan Yanli³^ORCID,Xiong Zehui³^ORCID,Yu Han²^ORCID,Guizani Nadra⁴

Affiliation:

1. School of Navigation, Wuhan University of Technology, Wuhan, China

2. School of Computer Science and Engineering, Nanyang Technological University, Singapore

3. Information Systems Technology and Design Pillar, Singapore University of Technology and Design, Singapore

4. School of Electrical and Computer Engineering, University of Texas at Arlington, Arlington, TX, USA

Funder

National Natural Science Foundation of China

SUTD-ZJU IDEA

SUTD-ZJU IDEA Seed Grant

National Research Foundation Singapore

RIE 2020 Advanced Manufacturing and Engineering

Nanyang Assistant Professorship

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering

Link

Reference43 articles.

4. Semi-supervised classification with graph convolutional networks;kipf;Proc Int Conf Learn Representations,0

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