1. Chen, J., Dong, H., Wang, X.: Bias and debias in recommender system: a survey and future directions. ACM Trans. Inform. Syst. 41(3), 1–39 (2023)
2. Clauset, A., Shalizi, C.R., Newman, M.E.: Power-law distributions in empirical data. SIAM Rev. 51(4), 661–703 (2009)
3. Gasteiger, J., Bojchevski, A., Günnemann, S.: Combining neural networks with personalized pagerank for classification on graphs. In: International Conference on Learning Representations (2019)
4. Gutmann, M., Hyvärinen, A.: Noise-contrastive estimation: a new estimation principle for unnormalized statistical models. In: Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, pp. 297–304. JMLR Workshop and Conference Proceedings (2010)
5. He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 770–778 (2016)