1. Bingyang, L., Jianmei, X., & Xihuai, W. (2019). Feature selection for partially labeled data based on neighborhood granulation measures. IEEE Access, 7, 37238–37250.
2. Caravanti, M., de Souza, B., Nogueira, M., Rossi, R. G., Marcacini, R. M., Neves, B., dos Santos, S., & Rezende, O. (2021). A network-based positive and unlabeled learning approach for fake news detection. Machine Learning, 111(10), 3549–3592.
3. Chen, Y. T., Xiong, J., Xu, W. H., & Zuo, J. W. (2020). A novel online incremental and decremental learning algorithm based on variable support vector machine. Cluster Computing-The Journal Of Networks Software Tools and Applications, 22, S7435–S7445.
4. Fei, W., & Changshui, Z. (2008). Label propagation through linear neighborhoods. IEEE Transactions on Knowledge and Data Engineering, 20(1), 55–67.
5. Fei, Z., & Jiang-She, Z. (2012). Label propagation through sparse neighborhood and its applications. Neurocomputing, 97, 267–277.