Bao-Min Liu

According to our database, Bao-Min Liu authored at least 4 papers between 2022 and 2024.

Collaborative distances:

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

2024

Multi-Kernel Graph Attention Deep Autoencoder for MiRNA-Disease Association Prediction.

Cui-Na Jiao, Feng Zhou, Bao-Min Liu, Chun-Hou Zheng, Jin-Xing Liu, Ying-Lian Gao

IEEE J. Biomed. Health Informatics, February, 2024

SLGCN: Structure-enhanced line graph convolutional network for predicting drug-disease associations.

Bao-Min Liu, Ying-Lian Gao, Feng Li, Chun-Hou Zheng, Jin-Xing Liu

Knowl. Based Syst., January, 2024

2023

MKGSAGE: A Computational Framework via Multiple Kernel Fusion on GraphSAGE for Inferring Potential Disease-Related Microbes.

Shuang Wang, Jin-Xing Liu, Bao-Min Liu, Ling-Yun Dai, Feng Li, Ying-Lian Gao

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

A new framework for drug-disease association prediction combing light-gated message passing neural network and gated fusion mechanism.

Bao-Min Liu, Ying-Lian Gao, Dai-Jun Zhang, Feng Zhou, Juan Wang, Chun-Hou Zheng, Jin-Xing Liu

Briefings Bioinform., 2022