A comprehensive review and evaluation of graph neural networks for non-coding RNA and complex disease associations. - Xiaowen Hu; Dayun Liu; Jiaxuan Zhang; Yanhao Fan; Tianxiang Ouyang; Yue Luo; Yuanpeng Zhang; Lei Deng 002 (Briefings Bioinform., 2023)

ADiffGDA: Exploring Gene-Drug Associations via Adaptive Graph Diffusion Networks. - Che Zhang; Yanhao Fan; Xiaowen Hu; Yurong Qian; Lei Deng 002 (BIBM, 2024)

HGTRDA: Enhancing Prediction of ncRNA-Mediated Drug Resistance with Hypergraph Transformer. - Che Zhang; Ruohui He; Yanhao Fan; Xiaowen Hu; Yurong Qian; Lei Deng 002 (BIBM, 2024)

SGCLDGA: unveiling drug-gene associations through simple graph contrastive learning. - Yanhao Fan; Che Zhang; Xiaowen Hu; Zhijian Huang; Jiameng Xue; Lei Deng 002 (Briefings Bioinform., 2024)

IGCNSDA: unraveling disease-associated snoRNAs with an interpretable graph convolutional network. - Xiaowen Hu; Pan Zhang; Dayun Liu; Jiaxuan Zhang; Yuanpeng Zhang; Yihan Dong; Yanhao Fan; Lei Deng 002 (Briefings Bioinform., 2024)

AGCLNDA: Enhancing the Prediction of ncRNA-Drug Resistance Association Using Adaptive Graph Contrastive Learning. - Yanhao Fan; Che Zhang; Xiaowen Hu; Zhijian Huang; Lei Deng 002 (IEEE J. Biomed. Health Informatics, 2025)