Zobrazeno 1 - 10
of 67
pro vyhledávání: '"Wang Yewen"'
Autor:
Zhang, Shichang, Sohrabizadeh, Atefeh, Wan, Cheng, Huang, Zijie, Hu, Ziniu, Wang, Yewen, Yingyan, Lin, Cong, Jason, Sun, Yizhou
Graph neural networks (GNNs) are emerging for machine learning research on graph-structured data. GNNs achieve state-of-the-art performance on many tasks, but they face scalability challenges when it comes to real-world applications that have numerou
Externí odkaz:
http://arxiv.org/abs/2306.14052
Training labels for graph embedding algorithms could be costly to obtain in many practical scenarios. Active learning (AL) algorithms are very helpful to obtain the most useful labels for training while keeping the total number of label queries under
Externí odkaz:
http://arxiv.org/abs/2212.01968
Publikováno v:
In Developmental and Comparative Immunology January 2025 162
Autor:
Li, Cheng1 (AUTHOR), Wang, Yewen1 (AUTHOR) 2230131505@tiangong.edu.cn
Publikováno v:
PLoS ONE. 7/19/2024, Vol. 19 Issue 7, p1-23. 23p.
Publikováno v:
In Fish and Shellfish Immunology August 2024 151
Autor:
Xu, SuiFeng, Wang, YueXuan, Wang, YeWen, Jiang, YunXiang, Li, Huang, Han, ChengZong, Wei, BaoCan, Qin, Qiwei, Wei, Shina
Publikováno v:
In Fish and Shellfish Immunology January 2024 144
Publikováno v:
In Aquaculture 15 December 2023 577
Autor:
Wang, Yuexuan, Zheng, Qi, Xu, Suifeng, Wang, Yewen, Huang, Youhua, Huang, Xiaohong, Wei, Jingguang, Qin, Qiwei, Wei, Shina
Publikováno v:
In Aquaculture 15 October 2023 575
Graph convolutional networks (GCNs) have recently received wide attentions, due to their successful applications in different graph tasks and different domains. Training GCNs for a large graph, however, is still a challenge. Original full-batch GCN t
Externí odkaz:
http://arxiv.org/abs/1911.07323
Akademický článek
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