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pro vyhledávání: '"Guo, Xiaojun"'
With the prosperity of contrastive learning for visual representation learning (VCL), it is also adapted to the graph domain and yields promising performance. However, through a systematic study of various graph contrastive learning (GCL) methods, we
Externí odkaz:
http://arxiv.org/abs/2311.02687
Oversmoothing is a common phenomenon in a wide range of Graph Neural Networks (GNNs) and Transformers, where performance worsens as the number of layers increases. Instead of characterizing oversmoothing from the view of complete collapse in which re
Externí odkaz:
http://arxiv.org/abs/2303.06562
Autor:
Guo, Runze1 (AUTHOR) guorunze14@nudt.edu.cn, Guo, Xiaojun1 (AUTHOR) jeanakin@nudt.edu.cn, Sun, Xiaoyong1 (AUTHOR), Zhou, Peida1 (AUTHOR), Sun, Bei1 (AUTHOR), Su, Shaojing1 (AUTHOR)
Publikováno v:
Remote Sensing. Nov2024, Vol. 16 Issue 21, p4034. 20p.
Publikováno v:
Journal of Orthopaedic Surgery & Research. 10/30/2024, Vol. 19 Issue 1, p1-8. 8p.
Publikováno v:
应用气象学报, Vol 35, Iss 2, Pp 196-210 (2024)
The water vapor content is a crucial factor in assessing cloud water resources, and the content and distribution of cloud liquid water are important reference indicators for determining the quantity and location of catalysts in weather modification o
Externí odkaz:
https://doaj.org/article/8549cec7ea44437ba562fcdbbcf92665
Autor:
HUANG, Jingqi, CAO, Xueqiang, CHEN, Wenbo, GUO, Xiaojun, LI, Min, WANG, Wenjun, DONG, Shujuan, LIU, Li, CHEN, Meizhu
Publikováno v:
In Chinese Journal of Aeronautics October 2024 37(10):1-25
Publikováno v:
In Engineering Applications of Artificial Intelligence October 2024 136 Part B
Autor:
Ding, Kaili, Liu, Dong, Chen, Xueli, Zhang, Hui, Shi, Suan, Guo, Xiaojun, Zhou, Ling, Han, Lujia, Xiao, Weihua
Publikováno v:
In Renewable and Sustainable Energy Reviews September 2024 202
Autor:
Xi, Yuxi, Guo, Xiaojun, Han, Wei, Yan, Hudong, Zha, Fei, Tang, Xiaohua, Tian, Haifeng, Zuo, Zhijun
Publikováno v:
In Journal of Colloid And Interface Science 15 January 2025 678 Part B:1073-1087