A Little Truth Injection but a Big Reward: Label Aggregation With Graph Neural Networks-Reference-Cited by-同舟云学术

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A Little Truth Injection but a Big Reward: Label Aggregation With Graph Neural Networks

Published:2023 Issue: Volume: Page:1-14
ISSN:0162-8828
Container-title:IEEE Transactions on Pattern Analysis and Machine Intelligence
language:
Short-container-title:IEEE Trans. Pattern Anal. Mach. Intell.

Author:

Ying Zijian¹^ORCID,Zhang Jing²^ORCID,Li Qianmu³^ORCID,Wu Ming²^ORCID,Sheng Victor S.⁴^ORCID

Affiliation:

1. School of Cyber Science and Engineering, University of Science and Technology, Nanjing, Jiangsu, China

2. School of Computer Science and Engineering, University of Science and Technology, Nanjing, Jiangsu, China

3. Digital Economy Research Institute, Nanjing University of Science and Technology, Nanjing, Jiangsu, China

4. Texas Tech University, Lubbock, TX, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software

Link

http://xplorestaging.ieee.org/ielx7/34/4359286/10337741.pdf?arnumber=10337741

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Label Consistency-Based Ground Truth Inference for Crowdsourcing;IEEE Transactions on Neural Networks and Learning Systems;2024

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