Wang, Z., Yin, Z., Zhang, X., Zhang, Y., He, X., Wang, S., Song, H., Yang, L., & Zhang, W. (2025). Towards fair graph-based machine learning software: unveiling and mitigating graph model bias. AI and Ethics, 5(6), 6279-6296. https://doi.org/10.1007/s43681-025-00756-y
ISO-690 (author-date, English)WANG, Zichong, YIN, Zhipeng, ZHANG, Xingyu, ZHANG, Yuying, HE, Xudong, WANG, Shaowei, SONG, Houbing, YANG, Liping und ZHANG, Wenbin, 2025. Towards fair graph-based machine learning software: unveiling and mitigating graph model bias. AI and Ethics. 1 Dezember 2025. Vol. 5, no. 6, p. 6279-6296. DOI 10.1007/s43681-025-00756-y.
Modern Language Association 9th editionWang, Z., Z. Yin, X. Zhang, Y. Zhang, X. He, S. Wang, H. Song, L. Yang, und W. Zhang. „Towards Fair Graph-Based Machine Learning Software: Unveiling and Mitigating Graph Model Bias“. AI and Ethics, Bd. 5, Nr. 6, Dezember 2025, S. 6279-96, https://doi.org/10.1007/s43681-025-00756-y.
Mohr Siebeck - Recht (Deutsch - Österreich)Wang, Zichong/Yin, Zhipeng/Zhang, Xingyu/Zhang, Yuying/He, Xudong/Wang, Shaowei u. a.: Towards fair graph-based machine learning software: unveiling and mitigating graph model bias, AI and Ethics 2025, 6279-6296.
Emerald - HarvardWang, Z., Yin, Z., Zhang, X., Zhang, Y., He, X., Wang, S., Song, H., Yang, L. und Zhang, W. (2025), „Towards fair graph-based machine learning software: unveiling and mitigating graph model bias“, AI and Ethics, Vol. 5 No. 6, S. 6279-6296.