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Yuchang Zhu

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Fair Graph Representation Learning via Sensitive Attribute Disentanglement

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May 11, 2024
Yuchang Zhu, Jintang Li, Zibin Zheng, Liang Chen

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LasTGL: An Industrial Framework for Large-Scale Temporal Graph Learning

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Nov 30, 2023
Jintang Li, Jiawang Dan, Ruofan Wu, Jing Zhou, Sheng Tian, Yunfei Liu, Baokun Wang, Changhua Meng, Weiqiang Wang, Yuchang Zhu, Liang Chen, Zibin Zheng

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The Devil is in the Data: Learning Fair Graph Neural Networks via Partial Knowledge Distillation

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Nov 29, 2023
Yuchang Zhu, Jintang Li, Liang Chen, Zibin Zheng

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Hetero$^2$Net: Heterophily-aware Representation Learning on Heterogenerous Graphs

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Oct 18, 2023
Jintang Li, Zheng Wei, Jiawang Dan, Jing Zhou, Yuchang Zhu, Ruofan Wu, Baokun Wang, Zhang Zhen, Changhua Meng, Hong Jin, Zibin Zheng, Liang Chen

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Scaling Up, Scaling Deep: Blockwise Graph Contrastive Learning

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Jun 03, 2023
Jintang Li, Wangbin Sun, Ruofan Wu, Yuchang Zhu, Liang Chen, Zibin Zheng

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