Shengzhong Zhang

According to our database, Shengzhong Zhang authored at least 9 papers between 2019 and 2023.

Collaborative distances:

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

2023

Effective stabilized self-training on few-labeled graph data.

Ziang Zhou, Jieming Shi, Shengzhong Zhang, Zengfeng Huang, Qing Li

Inf. Sci., 2023

Understanding Community Bias Amplification in Graph Representation Learning.

Shengzhong Zhang, Wenjie Yang, Yimin Zhang, Hongwei Zhang, Divin Yan, Zengfeng Huang

CoRR, 2023

StructComp: Substituting propagation with Structural Compression in Training Graph Contrastive Learning.

Shengzhong Zhang, Wenjie Yang, Xinyuan Cao, Hongwei Zhang, Zengfeng Huang

CoRR, 2023

UNREAL: Unlabeled Nodes Retrieval and Labeling for Heavily-imbalanced Node Classification.

Liang Yan, Shengzhong Zhang, Bisheng Li, Min Zhou, Zengfeng Huang

CoRR, 2023

Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance Decomposition.

Divin Yan, Gengchen Wei, Chen Yang, Shengzhong Zhang, Zengfeng Huang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

BSAL: A Framework of Bi-component Structure and Attribute Learning for Link Prediction.

Bisheng Li, Min Zhou, Shengzhong Zhang, Menglin Yang, Defu Lian, Zengfeng Huang

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

2021

Scaling Up Graph Neural Networks Via Graph Coarsening.

Zengfeng Huang, Shengzhong Zhang, Chong Xi, Tang Liu, Min Zhou

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

SCE: Scalable Network Embedding from Sparsest Cut.

Shengzhong Zhang, Zengfeng Huang, Haicang Zhou, Ziang Zhou

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019

A Risk-Averse Newsvendor Model Under the Framework of Uncertainty Theory.

Shengzhong Zhang, Yingmin Yu, Jidong Li, Qihong Zhu

IEEE Access, 2019