Spatial-Temporal Data Inference With Graph Attention Neural Networks in Sparse Mobile Crowdsensing-Reference-Cited by-同舟云学术

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Spatial-Temporal Data Inference With Graph Attention Neural Networks in Sparse Mobile Crowdsensing

Published:2024-09 Issue:5 Volume:11 Page:4617-4626
ISSN:2327-4697
Container-title:IEEE Transactions on Network Science and Engineering
language:
Short-container-title:IEEE Trans. Netw. Sci. Eng.

Author:

Yang Guisong¹^ORCID,Wen Panpan¹,Liu Yutong²^ORCID,Kong Linghe²^ORCID,Liu Yunhuai³^ORCID

Affiliation:

1. Department of Computer Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China

2. Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China

3. Department of Computer Science and Engineering, Peking University, Beijing, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Shanghai

Shanghai Science and Technology Development Funds

Huawei Explore X funds

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6488902/10637788/10577239.pdf?arnumber=10577239

Reference35 articles.

1. Large-Scale Spatiotemporal Fracture Data Completion in Sparse CrowdSensing

2. On Enabling Mobile Crowd Sensing for Data Collection in Smart Agriculture: A Vision

3. Spatial-temporal Coverage Maximization in Vehicle-based Mobile Crowdsensing for Air Quality Monitoring

4. Dynamic User Recruitment with Truthful Pricing for Mobile CrowdSensing

5. Reinforcement learning-based cell selection in sparse mobile crowdsensing

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