A Data-centric Framework to Endow Graph Neural Networks with Out-Of-Distribution Detection Ability. - Yuxin Guo; Cheng Yang 002; Yuluo Chen; Jixi Liu; Chuan Shi 001; Junping Du 001 (KDD, 2023)

Data-centric Graph Learning: A Survey. - Cheng Yang 002; Deyu Bo; Jixi Liu; Yufei Peng; Boyu Chen; Haoran Dai; Ao Sun; Yue Yu 007; Yixin Xiao; Qi Zhang 066; Chunchen Wang; Yuxin Guo; et al. (CoRR, 2023)

FairSIN: Achieving Fairness in Graph Neural Networks through Sensitive Information Neutralization. - Cheng Yang 002; Jixi Liu; Yunhe Yan; Chuan Shi 001 (AAAI, 2024)

Data-Centric Graph Learning: A Survey. - Yuxin Guo; Deyu Bo; Cheng Yang 002; Zhiyuan Lu; Zhongjian Zhang; Jixi Liu; Yufei Peng; Chuan Shi 001 (IEEE Trans. Big Data, 2025)