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RFMNet: Robust Deep Functional Maps for unsupervised non-rigid shape correspondence 期刊论文
GRAPHICAL MODELS, 2023, 卷号: 129, 页码: 11
作者:  Hu, Ling;  Li, Qinsong;  Liu, Shengjun;  Yan, Dong-Ming;  Xu, Haojun;  Liu, Xinru
收藏  |  浏览/下载：44/0  |  提交时间：2023/11/17
Shape correspondence  Functional maps  Unsupervised learning  Optimal transport  
HackGAN: Harmonious Cross-Network Mapping Using CycleGAN With Wasserstein-Procrustes Learning for Unsupervised Network Alignment 期刊论文
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2022, 页码: 14
作者:  Yang, Linyao;  Wang, Xiao;  Zhang, Jun;  Yang, Jun;  Xu, Yancai;  Hou, Jiachen;  Xin, Kejun;  Wang, Fei-Yue
Adobe PDF(4053Kb)  |  收藏  |  浏览/下载：264/41  |  提交时间：2022/03/17
Task analysis  Optimization  Generative adversarial networks  Computational modeling  Automation  Training  Standards  Embedding  generative adversarial network  network alignment (NA)  optimal transport  unsupervised learning