MLGL-MP: a Multi-Label Graph Learning framework enhanced by pathway interdependence for Metabolic Pathway prediction. - Bing-Xue Du; Peng-Cheng Zhao; Bei Zhu; Siu-Ming Yiu; Arnold K. Nyamabo; Hui Yu 011; Jian-Yu Shi (Bioinform., 2022)

GELKcat: An Integration Learning of Substrate Graph with Enzyme Embedding for Kcat prediction. - Bing-Xue Du; Haoyang Yu; Bei Zhu; Yahui Long; Min Wu 008; Jian-Yu Shi (BIBM, 2023)

MTGL-ADMET: A Novel Multi-task Graph Learning Framework for ADMET Prediction Enhanced by Status-Theory and Maximum Flow. - Bing-Xue Du; Yi Xu; Siu-Ming Yiu; Hui Yu 011; Jian-Yu Shi (RECOMB, 2023)

CMMS-GCL: cross-modality metabolic stability prediction with graph contrastive learning. - Bing-Xue Du; Yahui Long; Xiaoli Li 001; Min Wu 008; Jian-Yu Shi (Bioinform., 2023)

DVL-CC: A Novel Dual-View Learning Framework for Compound Cocrystal Prediction Boosted by View Consistency and Complementarity. - Haoyang Yu; Bei Zhu; Bing-Xue Du; Xue-Xin Wei; Hui Yu 011; Jian-Yu Shi (BCB, 2024)