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Zhonglin Ye

Showing results (1-10 of 5) with videos related to

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Frontiers in Artificial Intelligence|April 19, 2024
Dual-channel deep graph convolutional neural networksZhonglin Ye, Zhuoran Li, Gege Li, et al.
Scientific Reports|December 5, 2024
DGHSA: derivative graph-based hypergraph structure attackYang Chen, Zhonglin Ye, Zhaoyang Wang, et al.
Frontiers in Computational Neuroscience|December 11, 2023
LGNN: a novel linear graph neural network algorithmShujuan Cao, Xiaoming Wang, Zhonglin Ye, et al.
Frontiers in Neurorobotics|March 15, 2024
Multi-channel high-order network representation learning researchZhonglin Ye, Yanlong Tang, Haixing Zhao, et al.
Frontiers in Neurorobotics|June 5, 2024
TP-GCL: graph contrastive learning from the tensor perspectiveMingyuan Li, Lei Meng, Zhonglin Ye, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Frontiers in Artificial Intelligence|April 19, 2024
Dual-channel deep graph convolutional neural networksZhonglin Ye, Zhuoran Li, Gege Li, et al.
Scientific Reports|December 5, 2024
DGHSA: derivative graph-based hypergraph structure attackYang Chen, Zhonglin Ye, Zhaoyang Wang, et al.
Frontiers in Computational Neuroscience|December 11, 2023
LGNN: a novel linear graph neural network algorithmShujuan Cao, Xiaoming Wang, Zhonglin Ye, et al.
Frontiers in Neurorobotics|March 15, 2024
Multi-channel high-order network representation learning researchZhonglin Ye, Yanlong Tang, Haixing Zhao, et al.
Frontiers in Neurorobotics|June 5, 2024
TP-GCL: graph contrastive learning from the tensor perspectiveMingyuan Li, Lei Meng, Zhonglin Ye, et al.
Pageof 1