WMGHMDA: a novel weighted meta-graph-based model for predicting human microbe-disease association on heterogeneous information network. - Yahui Long; Jiawei Luo 001 (BMC Bioinform., 2019)

Predicting Drugs for COVID-19/SARS-CoV-2 via Heterogeneous Graph Attention Networks. - Yahui Long; Yu Zhang 084; Min Wu 008; Shaoliang Peng; Chee Keong Kwoh 001; Jiawei Luo 001; Xiaoli Li 001 (BIBM, 2020)

DL-CRISPR: A Deep Learning Method for Off-Target Activity Prediction in CRISPR/Cas9 With Data Augmentation. - Yu Zhang 084; Yahui Long; Rui Yin 002; Chee Keong Kwoh 001 (IEEE Access, 2020)

Ensembling graph attention networks for human microbe-drug association prediction. - Yahui Long; Min Wu 008; Yong Liu 020; Chee Keong Kwoh 001; Jiawei Luo 001; Xiaoli Li 001 (Bioinform., 2020)

Predicting human microbe-drug associations via graph convolutional network with conditional random field. - Yahui Long; Min Wu 008; Chee Keong Kwoh 001; Jiawei Luo 001; Xiaoli Li 001 (Bioinform., 2020)

Deep learning based DNA: RNA triplex forming potential prediction. - Yu Zhang 084; Yahui Long; Chee Keong Kwoh 001 (BMC Bioinform., 2020)

NTSHMDA: Prediction of Human Microbe-Disease Association Based on Random Walk by Integrating Network Topological Similarity. - Jiawei Luo 001; Yahui Long (IEEE ACM Trans. Comput. Biol. Bioinform., 2020)

Predicting human microbe-disease associations via graph attention networks with inductive matrix completion. - Yahui Long; Jiawei Luo 001; Yu Zhang 084; Yan Xia (Briefings Bioinform., 2021)

Graph contextualized attention network for predicting synthetic lethality in human cancers. - Yahui Long; Min Wu 008; Yong Liu 020; Jie Zheng 002; Chee Keong Kwoh 001; Jiawei Luo 001; Xiaoli Li 001 (Bioinform., 2021)

Class similarity network for coding and long non-coding RNA classification. - Yu Zhang 084; Yahui Long; Chee Keong Kwoh 001 (BMC Bioinform., 2021)

Association Mining to Identify Microbe Drug Interactions Based on Heterogeneous Network Embedding Representation. - Yahui Long; Jiawei Luo 001 (IEEE J. Biomed. Health Informatics, 2021)

Pre-training graph neural networks for link prediction in biomedical networks. - Yahui Long; Min Wu 008; Yong Liu 020; Yuan Fang 001; Chee Keong Kwoh 001; Jinmiao Chen; Jiawei Luo 001; Xiaoli Li 001 (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)

Interpretable multi-view attention network for drug-drug interaction prediction. - Xuan Lin; Qi Wen 002; Sijie Yang; Zu-Guo Yu; Yahui Long; Xiangxiang Zeng (BIBM, 2023)

An effective image fusion algorithm based on grey relation of similarity and morphology. - Caiping Liu; Yahui Long; Jianxu Mao; Hui Zhang 023; Ruizhi Huang; Yang Dai (J. Ambient Intell. Humaniz. Comput., 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)

Identifying spatial domains of spatially resolved transcriptomics via multi-view graph convolutional networks. - Xuejing Shi; Juntong Zhu; Yahui Long; Cheng Liang 001 (Briefings Bioinform., 2023)

Spatial-MGCN: a novel multi-view graph convolutional network for identifying spatial domains with attention mechanism. - Bo Wang; Jiawei Luo 001; Ying Liu 027; Wanwan Shi; Zehao Xiong; Cong Shen 002; Yahui Long (Briefings Bioinform., 2023)

CSCL-DTI: predicting drug-target interaction through cross-view and self-supervised contrastive learning. - Xuan Lin; Xi Zhang 008; Zu-Guo Yu; Yahui Long; Xiangxiang Zeng; Philip S. Yu (BIBM, 2024)

STCGAN: a novel cycle-consistent generative adversarial network for spatial transcriptomics cellular deconvolution. - Bo Wang; Yahui Long; Yuting Bai; Jiawei Luo 001; Chee Keong Kwoh 001 (Briefings Bioinform., 2024)