A Survey on Graph Condensation. - Hongjia Xu; Liangliang Zhang; Yao Ma 001; Sheng Zhou 004; Zhuonan Zheng; Jiajun Bu (CoRR, 2024)

Revisiting the Message Passing in Heterophilous Graph Neural Networks. - Zhuonan Zheng; Yuanchen Bei; Sheng Zhou 004; Yao Ma 001; Ming Gu 014; Hongjia Xu; Chengyu Lai; Jiawei Chen 007; Jiajun Bu (CoRR, 2024)

Universal Inceptive GNNs by Eliminating the Smoothness-generalization Dilemma. - Ming Gu 014; Zhuonan Zheng; Sheng Zhou 004; Meihan Liu; Jiawei Chen 007; Tanyu Qiao; Liangcheng Li; Jiajun Bu (CoRR, 2024)

Frequency Self-Adaptation Graph Neural Network for Unsupervised Graph Anomaly Detection. - Ming Gu 014; Gaoming Yang; Zhuonan Zheng; Meihan Liu; Haishuai Wang; Jiawei Chen 007; Sheng Zhou 004; Jiajun Bu (Neural Networks, 2025)

Heterophilous distribution propagation for Graph Neural Networks. - Zhuonan Zheng; Sheng Zhou 004; Hongjia Xu; Ming Gu 014; Yilun Xu; Ao Li; Yuhong Li; Jingjun Gu; Jiajun Bu (Neural Networks, 2025)

Learning to Reduce the Scale of Large Graphs: A Comprehensive Survey. - Hongjia Xu; Liangliang Zhang; Yao Ma 001; Sheng Zhou 004; Zhuonan Zheng; Jiajun Bu (ACM Trans. Knowl. Discov. Data, 2025)

A Comprehensive Survey on Deep Clustering: Taxonomy, Challenges, and Future Directions. - Sheng Zhou 004; Hongjia Xu; Zhuonan Zheng; Jiawei Chen 007; Zhao Li 007; Jiajun Bu; Jia Wu 001; Xin Wang 019; Wenwu Zhu 001; Martin Ester (ACM Comput. Surv., 2025)