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Yang-Geng Fu

Showing results (1-10 of 6) with videos related to

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Neural Networks : the Official Journal of the International Neural Network Society|December 3, 2025
Curriculum-guided graph self-augmentation: A progressive deepening framework for GNNsLi Yu, Qirong Zhang, Jin Li, et al.
Neural Networks : the Official Journal of the International Neural Network Society|April 29, 2026
Graph contrastive learning with virtual nodes for few-shot semi-supervised classificationYang-Geng Fu, Pan Liu, Zuhao Xu, et al.
IEEE Transactions on Neural Networks and Learning Systems|May 29, 2024
Another Perspective of Over-Smoothing: Alleviating Semantic Over-Smoothing in Deep GNNsJin Li, Qirong Zhang, Wenxi Liu, et al.
Neural Networks : the Official Journal of the International Neural Network Society|March 10, 2024
DWSSA: Alleviating over-smoothness for deep Graph Neural NetworksQirong Zhang, Jin Li, Qingqing Ye, et al.
Neural Networks : the Official Journal of the International Neural Network Society|January 24, 2026
UniTrain: A universal iterative semi-supervised training framework for graph representation learningXinlong Chen, Jin Li, Yisong Huang, et al.
Neural Networks : the Official Journal of the International Neural Network Society|October 17, 2024
GSSCL: A framework for Graph Self-Supervised Curriculum Learning based on clustering label smoothingYang-Geng Fu, Xinlong Chen, Shuling Xu, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Neural Networks : the Official Journal of the International Neural Network Society|December 3, 2025
Curriculum-guided graph self-augmentation: A progressive deepening framework for GNNsLi Yu, Qirong Zhang, Jin Li, et al.
Neural Networks : the Official Journal of the International Neural Network Society|April 29, 2026
Graph contrastive learning with virtual nodes for few-shot semi-supervised classificationYang-Geng Fu, Pan Liu, Zuhao Xu, et al.
IEEE Transactions on Neural Networks and Learning Systems|May 29, 2024
Another Perspective of Over-Smoothing: Alleviating Semantic Over-Smoothing in Deep GNNsJin Li, Qirong Zhang, Wenxi Liu, et al.
Neural Networks : the Official Journal of the International Neural Network Society|March 10, 2024
DWSSA: Alleviating over-smoothness for deep Graph Neural NetworksQirong Zhang, Jin Li, Qingqing Ye, et al.
Neural Networks : the Official Journal of the International Neural Network Society|January 24, 2026
UniTrain: A universal iterative semi-supervised training framework for graph representation learningXinlong Chen, Jin Li, Yisong Huang, et al.
Neural Networks : the Official Journal of the International Neural Network Society|October 17, 2024
GSSCL: A framework for Graph Self-Supervised Curriculum Learning based on clustering label smoothingYang-Geng Fu, Xinlong Chen, Shuling Xu, et al.
Pageof 1