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Jintang Li

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Rethinking and Simplifying Bootstrapped Graph Latents

Dec 05, 2023
Wangbin Sun, Jintang Li, Liang Chen, Bingzhe Wu, Yatao Bian, Zibin Zheng

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

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

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

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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SAILOR: Structural Augmentation Based Tail Node Representation Learning

Aug 15, 2023
Jie Liao, Jintang Li, Liang Chen, Bingzhe Wu, Yatao Bian, Zibin Zheng

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Scaling Up, Scaling Deep: Blockwise Graph Contrastive Learning

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

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A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks

May 30, 2023
Jintang Li, Huizhe Zhang, Ruofan Wu, Zulun Zhu, Liang Chen, Zibin Zheng, Baokun Wang, Changhua Meng

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SAD: Semi-Supervised Anomaly Detection on Dynamic Graphs

May 23, 2023
Sheng Tian, Jihai Dong, Jintang Li, Wenlong Zhao, Xiaolong Xu, Baokun wang, Bowen Song, Changhua Meng, Tianyi Zhang, Liang Chen

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Less Can Be More: Unsupervised Graph Pruning for Large-scale Dynamic Graphs

May 18, 2023
Jintang Li, Sheng Tian, Ruofan Wu, Liang Zhu, Welong Zhao, Changhua Meng, Liang Chen, Zibin Zheng, Hongzhi Yin

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Spectral Adversarial Training for Robust Graph Neural Network

Nov 20, 2022
Jintang Li, Jiaying Peng, Liang Chen, Zibin Zheng, Tingting Liang, Qing Ling

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