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 021; Juan Wang 003; Chun-Hou Zheng 001; Jin-Xing Liu 001 (Briefings Bioinform., 2022)

MKGSAGE: A Computational Framework via Multiple Kernel Fusion on GraphSAGE for Inferring Potential Disease-Related Microbes. - Shuang Wang; Jin-Xing Liu 001; Bao-Min Liu; Ling-Yun Dai; Feng Li 033; Ying-Lian Gao (BIBM, 2023)

SLGCN: Structure-enhanced line graph convolutional network for predicting drug-disease associations. - Bao-Min Liu; Ying-Lian Gao; Feng Li 033; Chun-Hou Zheng 001; Jin-Xing Liu 001 (Knowl. Based Syst., 2024)

Multi-Kernel Graph Attention Deep Autoencoder for MiRNA-Disease Association Prediction. - Cui-Na Jiao; Feng Zhou 021; Bao-Min Liu; Chun-Hou Zheng 001; Jin-Xing Liu 001; Ying-Lian Gao (IEEE J. Biomed. Health Informatics, 2024)