Subgraph generation applied in GraphSAGE deal with imbalanced node classification
Author:
Funder
Natural Science Foundation of Xiamen
Department of Education, Fujian Province
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00500-024-09797-7.pdf
Reference46 articles.
1. Abedin MZ, Guotai C, Hajek P et al (2023) Combining weighted smote with ensemble learning for the class-imbalanced prediction of small business credit risk. Complex Intell Syst 9(4):3559–3579
2. Ando S, Huang CY (2017) Deep over-sampling framework for classifying imbalanced data. In: Ceci M, Hollmén J, Todorovski L et al (eds) Machine learning and knowledge discovery in databases. Springer International Publishing, Cham, pp 770–785
3. Bao Y, Yang S (2023) Two novel smote methods for solving imbalanced classification problems. IEEE Access 11:5816–5823
4. Barua S, Islam MM, Yao X et al (2012) Mwmote-majority weighted minority oversampling technique for imbalanced data set learning. IEEE Trans Knowl Data Eng 26(2):405–425
5. Chawla NV, Bowyer KW, Hall LO et al (2002) Smote: synthetic minority over-sampling technique. J Artif Intell Res 16:321–357
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