Select and calibrate the low-confidence: dual-channel consistency based graph convolutional networks

Author:

Shi Shuhao,Chen Jian,Qiao Kai,Yang Shuai,Wang Linyuan,Yan BinORCID

Funder

National Key Research and Development Project of China

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Reference38 articles.

1. Lee D-H (2013) Pseudo-label : The simple and efficient semi-supervised learning method for deep neural networks. In: Workshop on challenges in representation learning ICML

2. van den Berg R, Kipf T, Welling M (2017) Graph convolutional matrix completion. arXiv:1706.02263

3. Shi S, Qiao K, Chen J, Yang S, Yang J, Song B, Wang L, Yan B (2023) Mgtab: A multi-relational graph-based twitter account detection benchmark. arXiv:2301.01123

4. Shi S, Qiao K, Yang J, Song B, Chen J, Yan B (2023) Over-sampling strategy in feature space for graphs based class-imbalanced bot detection. arXiv:2302.06900

5. Cao ND, Kipf T (2018) Molgan: An implicit generative model for small molecular graphs. arXiv:1805.11973

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