Gen Liu

According to our database, Gen Liu authored at least 11 papers between 2025 and 2026.

Collaborative distances:

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

2026

Step Into Balance: A Consistency-Aware and Loose Homophily Guided Generative Method for Class-Imbalanced Graphs.

Gen Liu, Zhongying Zhao, Chao Li, Qingtian Zeng, Shuo Wang, Alessandro Brighente, Mauro Conti

IEEE Trans. Knowl. Data Eng., May, 2026

Every bird has its nest: Boosting graph convolutional network via hierarchical learning.

Gen Liu, Qi Meng, Chao Li, Zhongying Zhao

Inf. Process. Manag., 2026

DARLING: Dual Hypergraph-Enhanced Curriculum-Guided Graph Structure Learning for Node Classification.

Guangkai Wu, Gen Liu, Chao Li, Qingtian Zeng, Hui Zhou, Zhongying Zhao

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Can Pseudo-Label Be More Reliable? A Simple yet Effective Topology-Aware Graph Self-Training Method.

Gen Liu, Zhongying Zhao, Hui Zhou, Chao Li, Qingtian Zeng

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Inter-Class and Intra-Class Re-Weighting for Topological-Imbalance Graph Neural Networks.

Gen Liu, Zhongying Zhao, Hui Zhou, Chao Li, Qingtian Zeng, Guanfeng Liu

IEEE Trans. Emerg. Top. Comput. Intell., December, 2025

Boosting graph contrastive learning via adaptive graph augmentation and topology-feature-level homophily.

Shuo Sun, Zhongying Zhao, Gen Liu, Qiqi Zhang, Lingtao Su

Int. J. Mach. Learn. Cybern., August, 2025

GraphBSSN: A simple yet effective generative method for node classification in class-imbalanced graphs.

Qi Meng, Gen Liu, Guangkai Wu, Hui Zhou, Zhongying Zhao

Knowl. Based Syst., 2025

Encoder augmentation for multi-task graph contrastive learning.

Xiaoyu Wang, Qiqi Zhang, Gen Liu, Zhongying Zhao, Hongzhi Cui

Neurocomputing, 2025

Improving the quality of Positive and Negative Samples based on Topological Analysis and Counterfactual Reasoning for Graph Contrastive Learning.

Xiaoyu Wang, Qiqi Zhang, Gen Liu, Zhongying Zhao

Expert Syst. Appl., 2025

LeDA-GNN: Learnable dual augmentation for graph neural networks.

Gen Liu, Zhongying Zhao, Chao Li, Yanwei Yu

Expert Syst. Appl., 2025

Generate or Re-Weight? A Mutual-Guidance Method for Class-Imbalanced Graphs.

Zhongying Zhao, Gen Liu, Qi Meng, Chao Li, Qingtian Zeng

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025