Beilei Ling

According to our database, Beilei Ling authored at least 6 papers between 2019 and 2026.

Collaborative distances:

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

2026

Does noise in the knowledge graph really harm recommendations?

Meng Yan, Cai Xu, Ziyu Guan, Wei Zhao, Xujing Wang, Beilei Ling, Weigang Lu

Pattern Recognit., 2026

MessageShift: Fine-Grained Data Augmentation for Graph Neural Networks.

Weigang Lu, Zheng Liang, Yaming Yang, Ziyu Zheng, Meng Yan, Beilei Ling, Ziyu Guan, Wei Zhao

Proceedings of the ACM Web Conference 2026, 2026

Collaborative Pattern Mining in Activity Graphs.

Beilei Ling, Ziyu Guan, Wei Zhao, Yiheng Lu, Meng Yan, Cai Xu, Weigang Lu, Beizeng Ling

Proceedings of the Database Systems for Advanced Applications, 2026

2025

G-NodeMixup: Enhancing graph neural networks reachability under extremely limited labels.

Ziyu Guan, Beilei Ling, Weigang Lu, Meng Yan, Yaming Yang, Wei Zhao, Yibing Zhan, Dapeng Tao

Neurocomputing, 2025

2022

Adversarial Incomplete Multiview Subspace Clustering Networks.

Cai Xu, Hongmin Liu, Ziyu Guan, Xunlian Wu, Jiale Tan, Beilei Ling

IEEE Trans. Cybern., 2022

2019

Adversarial Incomplete Multi-view Clustering.

Cai Xu, Ziyu Guan, Wei Zhao, Hongchang Wu, Yunfei Niu, Beilei Ling

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019