Ming Gu

According to our database, Ming Gu authored at least 7 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Heterophilous distribution propagation for Graph Neural Networks.

Zhuonan Zheng, Sheng Zhou, Hongjia Xu, Ming Gu, Yilun Xu, Ao Li, Yuhong Li, Jingjun Gu, Jiajun Bu

Neural Networks, 2025

2024

Structure enhanced prototypical alignment for unsupervised cross-domain node classification.

Meihan Liu, Zhen Zhang, Ning Ma, Ming Gu, Haishuai Wang, Sheng Zhou, Jiajun Bu

Neural Networks, 2024

Universal Inceptive GNNs by Eliminating the Smoothness-generalization Dilemma.

Ming Gu, Zhuonan Zheng, Sheng Zhou, Meihan Liu, Jiawei Chen, Tanyu Qiao, Liangcheng Li, Jiajun Bu

CoRR, 2024

Towards a Unified Framework of Clustering-based Anomaly Detection.

Zeyu Fang, Ming Gu, Sheng Zhou, Jiawei Chen, Qiaoyu Tan, Haishuai Wang, Jiajun Bu

CoRR, 2024

Revisiting the Message Passing in Heterophilous Graph Neural Networks.

Zhuonan Zheng, Yuanchen Bei, Sheng Zhou, Yao Ma, Ming Gu, Hongjia Xu, Chengyu Lai, Jiawei Chen, Jiajun Bu

CoRR, 2024

Rethinking Propagation for Unsupervised Graph Domain Adaptation.

Meihan Liu, Zeyu Fang, Zhen Zhang, Ming Gu, Sheng Zhou, Xin Wang, Jiajun Bu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Homophily-enhanced Structure Learning for Graph Clustering.

Ming Gu, Gaoming Yang, Sheng Zhou, Ning Ma, Jiawei Chen, Qiaoyu Tan, Meihan Liu, Jiajun Bu

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023