Yahui Long

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 17

Top Topics

Matrix Completion

Image Fusion Algorithm

Scene Reconstruction

Convolutional Network

Top Venues

Briefings Bioinform.

Publications

Bing-Xue Du, Yahui Long, Xiaoli Li, Min Wu, Jian-Yu Shi
CMMS-GCL: cross-modality metabolic stability prediction with graph contrastive learning. Bioinform. 39 (8) (2023)
Caiping Liu, Yahui Long, Jianxu Mao, Hui Zhang, Ruizhi Huang, Yang Dai
An effective image fusion algorithm based on grey relation of similarity and morphology. J. Ambient Intell. Humaniz. Comput. 14 (11) (2023)
Bing-Xue Du, Haoyang Yu, Bei Zhu, Yahui Long, Min Wu, Jian-Yu Shi
GELKcat: An Integration Learning of Substrate Graph with Enzyme Embedding for Kcat prediction. BIBM (2023)
Xuan Lin, Qi Wen, Sijie Yang, Zu-Guo Yu, Yahui Long, Xiangxiang Zeng
Interpretable multi-view attention network for drug-drug interaction prediction. BIBM (2023)
Bo Wang, Jiawei Luo, Ying Liu, Wanwan Shi, Zehao Xiong, Cong Shen, Yahui Long
Spatial-MGCN: a novel multi-view graph convolutional network for identifying spatial domains with attention mechanism. Briefings Bioinform. 24 (5) (2023)
Xuejing Shi, Juntong Zhu, Yahui Long, Cheng Liang
Identifying spatial domains of spatially resolved transcriptomics via multi-view graph convolutional networks. Briefings Bioinform. 24 (5) (2023)
Yahui Long, Min Wu, Yong Liu, Yuan Fang, Chee Keong Kwoh, Jinmiao Chen, Jiawei Luo, Xiaoli Li
Pre-training graph neural networks for link prediction in biomedical networks. Bioinform. 38 (8) (2022)
Yahui Long, Jiawei Luo
Association Mining to Identify Microbe Drug Interactions Based on Heterogeneous Network Embedding Representation. IEEE J. Biomed. Health Informatics 25 (1) (2021)
Yahui Long, Min Wu, Yong Liu, Jie Zheng, Chee Keong Kwoh, Jiawei Luo, Xiaoli Li
Graph contextualized attention network for predicting synthetic lethality in human cancers. Bioinform. 37 (16) (2021)
Yahui Long, Jiawei Luo, Yu Zhang, Yan Xia
Predicting human microbe-disease associations via graph attention networks with inductive matrix completion. Briefings Bioinform. 22 (3) (2021)
Yu Zhang, Yahui Long, Chee Keong Kwoh
Class similarity network for coding and long non-coding RNA classification. BMC Bioinform. 22 (1) (2021)
Yahui Long, Yu Zhang, Min Wu, Shaoliang Peng, Chee Keong Kwoh, Jiawei Luo, Xiaoli Li
Predicting Drugs for COVID-19/SARS-CoV-2 via Heterogeneous Graph Attention Networks. BIBM (2020)
Jiawei Luo, Yahui Long
NTSHMDA: Prediction of Human Microbe-Disease Association Based on Random Walk by Integrating Network Topological Similarity. IEEE ACM Trans. Comput. Biol. Bioinform. 17 (4) (2020)
Yu Zhang, Yahui Long, Chee Keong Kwoh
Deep learning based DNA: RNA triplex forming potential prediction. BMC Bioinform. 21 (1) (2020)
Yu Zhang, Yahui Long, Rui Yin, Chee Keong Kwoh
DL-CRISPR: A Deep Learning Method for Off-Target Activity Prediction in CRISPR/Cas9 With Data Augmentation. IEEE Access 8 (2020)
Yahui Long, Min Wu, Chee Keong Kwoh, Jiawei Luo, Xiaoli Li
Predicting human microbe-drug associations via graph convolutional network with conditional random field. Bioinform. 36 (19) (2020)
Yahui Long, Jiawei Luo
WMGHMDA: a novel weighted meta-graph-based model for predicting human microbe-disease association on heterogeneous information network. BMC Bioinform. 20 (1) (2019)