Search Results for author: Zhongjian Zhang

Found 3 papers, 1 papers with code

Endowing Pre-trained Graph Models with Provable Fairness

1 code implementation19 Feb 2024 Zhongjian Zhang, Mengmei Zhang, Yue Yu, Cheng Yang, Jiawei Liu, Chuan Shi

Furthermore, with GraphPAR, we quantify whether the fairness of each node is provable, i. e., predictions are always fair within a certain range of sensitive attribute semantics.

Attribute Fairness +1

Data-centric Graph Learning: A Survey

no code implementations8 Oct 2023 Yuxin Guo, Deyu Bo, Cheng Yang, Zhiyuan Lu, Zhongjian Zhang, Jixi Liu, Yufei Peng, Chuan Shi

Recently, instead of designing more complex neural architectures as model-centric approaches, the attention of AI community has shifted to data-centric ones, which focuses on better processing data to strengthen the ability of neural models.

Graph Learning

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