MGPOOL: multi-granular graph pooling convolutional networks representation learning

Author:

Xin Zhenghua,Chen Guolong,Chen Jie,Zhao Shu,Wang Zongchao,Fang Aidong,Pan Zhenggao,Cui Lin

Funder

Provincial natural science key research projects of Anhui Province

National Natural Science Foundation of China

Suzhou Scientific and Technological Research Projects

Excellent Young Talents Fund Program of Higher Education Institutions of Anhui Province

Key Natural Science Project of Anhui Provincial Education Department

The Open Research Fund of National Engineering Research Center for Agro-Ecological Big Data Analysis & Application

The Key Research and Technology Development Projects of Anhui Province

Anhui Provincial Key Research and Technology Development Program

Key Research and Development Program of Anhui Province

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Opportunistic Sensing in Task-Oriented Wireless Sensor Network Based on Graph Compressed Sensing;IEEE Transactions on Network Science and Engineering;2024-09

2. Robust graph neural networks with Dirichlet regularization and residual connection;International Journal of Machine Learning and Cybernetics;2024-04-07

3. Hybrid sampling-based contrastive learning for imbalanced node classification;International Journal of Machine Learning and Cybernetics;2022-10-24

4. Fine-grained image recognition via trusted multi-granularity information fusion;International Journal of Machine Learning and Cybernetics;2022-10-22

5. A novel multiple temporal-spatial convolution network for anode current signals classification;International Journal of Machine Learning and Cybernetics;2022-06-25

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