Confidence correction for trained graph convolutional networks

Author:

Yuan Junqing,Guo HuanleiORCID,Zhou Chenyi,Ding Jiajun,Kuang Zhenzhong,Yu ZhouORCID,Liu Yuan

Publisher

Elsevier BV

Reference44 articles.

1. Semi-supervised classification with graph convolutional networks;Kipf,2017

2. An end-to-end deep learning architecture for graph classification;Zhang;Proc. AAAI Conf. Artif. Intell.,2018

3. B. Perozzi, R. Al-Rfou, S. Skiena, Deepwalk: Online learning of social representations, in: Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014, pp. 701–710.

4. Personalized knowledge-aware recommendation with collaborative and attentive graph convolutional networks;Dai;Pattern Recognit.,2022

5. GC-LSTM: Graph convolution embedded LSTM for dynamic network link prediction;Chen;Appl. Intell.,2022

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