Urban Region Profiling With Spatio-Temporal Graph Neural Networks-Reference-Cited by-同舟云学术

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Urban Region Profiling With Spatio-Temporal Graph Neural Networks

Published:2022-12 Issue:6 Volume:9 Page:1736-1747
ISSN:2329-924X
Container-title:IEEE Transactions on Computational Social Systems
language:
Short-container-title:IEEE Trans. Comput. Soc. Syst.

Author:

Hou Mingliang¹^ORCID,Xia Feng²^ORCID,Gao Haoran¹^ORCID,Chen Xin¹,Chen Honglong³^ORCID

Affiliation:

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

2. Institute of Innovation, Science and Sustainability, Federation University Australia, Ballarat, VIC, Australia

3. College of Control Science and Engineering, China University of Petroleum, Qingdao, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Human-Computer Interaction,Social Sciences (miscellaneous),Modeling and Simulation

Link

http://xplorestaging.ieee.org/ielx7/6570650/9966856/09805695.pdf?arnumber=9805695

Reference44 articles.

2. Adam: A method for stochastic optimization;kingma;Proc 3rd Int Conf Learn Represent (ICLR),2015

3. Convolutional neural networks on graphs with fast localized spectral filtering;defferrard;Proc 30th Int Conf Neural Inf Process Syst (NIPS),2016

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

5. Random Walks: A Review of Algorithms and Applications

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