Min Zhang

According to our database, Min Zhang authored at least 7 papers between 2023 and 2026.

Collaborative distances:

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

2026

DRS-GCN: Counteracting over-smoothing in graph convolutional networks through dynamic reorganization and smoothness loss.

Qi Cheng, Lang Long, Min Zhang, Chengkui Zhao, Weixing Feng

Appl. Intell., June, 2026

Enhancing mutation impact prediction in protein-protein interactions through interpretable graph-based multi-level feature interactions.

Shiwei Wu, Nan Xu, Xiaohui Xin, Min Zhang, Haoliang Liu, Hongjia Zhu, Zhenyu Wei, Chengkui Zhao, Lei Yu, Weixing Feng

Bioinform., 2026

2025

A universal strategy for smoothing deceleration in deep graph neural networks.

Qi Cheng, Lang Long, Jiayu Xu, Min Zhang, Shuangze Han, Chengkui Zhao, Weixing Feng

Neural Networks, 2025

2024

PrCRS: a prediction model of severe CRS in CAR-T therapy based on transfer learning.

Zhenyu Wei, Chengkui Zhao, Min Zhang, Jiayu Xu, Nan Xu, Shiwei Wu, Xiaohui Xin, Lei Yu, Weixing Feng

BMC Bioinform., December, 2024

BertTCR: a Bert-based deep learning framework for predicting cancer-related immune status based on T cell receptor repertoire.

Min Zhang, Qi Cheng, Zhenyu Wei, Jiayu Xu, Shiwei Wu, Nan Xu, Chengkui Zhao, Lei Yu, Weixing Feng

Briefings Bioinform., September, 2024

Meta-DHGNN: method for CRS-related cytokines analysis in CAR-T therapy based on meta-learning directed heterogeneous graph neural network.

Zhenyu Wei, Chengkui Zhao, Min Zhang, Jiayu Xu, Nan Xu, Shiwei Wu, Xiaohui Xin, Lei Yu, Weixing Feng

Briefings Bioinform., May, 2024

2023

A score-based method of immune status evaluation for healthy individuals with complete blood cell counts.

Min Zhang, Chengkui Zhao, Qi Cheng, Jiayu Xu, Nan Xu, Lei Yu, Weixing Feng

BMC Bioinform., December, 2023