Yahui Long

According to our database, Yahui Long authored at least 17 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Spatial-MGCN: a novel multi-view graph convolutional network for identifying spatial domains with attention mechanism.

Bo Wang, Jiawei Luo, Ying Liu, Wanwan Shi, Zehao Xiong, Cong Shen, Yahui Long

Briefings Bioinform., September, 2023

Identifying spatial domains of spatially resolved transcriptomics via multi-view graph convolutional networks.

Xuejing Shi, Juntong Zhu, Yahui Long, Cheng Liang

Briefings Bioinform., September, 2023

CMMS-GCL: cross-modality metabolic stability prediction with graph contrastive learning.

Bing-Xue Du, Yahui Long, Xiaoli Li, Min Wu, Jian-Yu Shi

Bioinform., August, 2023

An effective image fusion algorithm based on grey relation of similarity and morphology.

Caiping Liu, Yahui Long, Jianxu Mao, Hui Zhang, Ruizhi Huang, Yang Dai

J. Ambient Intell. Humaniz. Comput., 2023

Interpretable multi-view attention network for drug-drug interaction prediction.

Xuan Lin, Qi Wen, Sijie Yang, Zu-Guo Yu, Yahui Long, Xiangxiang Zeng

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

GELKcat: An Integration Learning of Substrate Graph with Enzyme Embedding for Kcat prediction.

Bing-Xue Du, Haoyang Yu, Bei Zhu, Yahui Long, Min Wu, Jian-Yu Shi

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2022

Pre-training graph neural networks for link prediction in biomedical networks.

Yahui Long, Min Wu, Yong Liu, Yuan Fang, Chee Keong Kwoh, Jinmiao Chen, Jiawei Luo, Xiaoli Li

Bioinform., 2022

2021

Association Mining to Identify Microbe Drug Interactions Based on Heterogeneous Network Embedding Representation.

Yahui Long, Jiawei Luo

IEEE J. Biomed. Health Informatics, 2021

Class similarity network for coding and long non-coding RNA classification.

Yu Zhang, Yahui Long, Chee Keong Kwoh

BMC Bioinform., 2021

Graph contextualized attention network for predicting synthetic lethality in human cancers.

Yahui Long, Min Wu, Yong Liu, Jie Zheng, Chee Keong Kwoh, Jiawei Luo, Xiaoli Li

Bioinform., 2021

Predicting human microbe-disease associations via graph attention networks with inductive matrix completion.

Yahui Long, Jiawei Luo, Yu Zhang, Yan Xia

Briefings Bioinform., 2021

2020

NTSHMDA: Prediction of Human Microbe-Disease Association Based on Random Walk by Integrating Network Topological Similarity.

Jiawei Luo, Yahui Long

IEEE ACM Trans. Comput. Biol. Bioinform., 2020

Deep learning based DNA: RNA triplex forming potential prediction.

Yu Zhang, Yahui Long, Chee Keong Kwoh

BMC Bioinform., 2020

Predicting human microbe-drug associations via graph convolutional network with conditional random field.

Yahui Long, Min Wu, Chee Keong Kwoh, Jiawei Luo, Xiaoli Li

Bioinform., 2020

DL-CRISPR: A Deep Learning Method for Off-Target Activity Prediction in CRISPR/Cas9 With Data Augmentation.

Yu Zhang, Yahui Long, Rui Yin, Chee Keong Kwoh

IEEE Access, 2020

Predicting Drugs for COVID-19/SARS-CoV-2 via Heterogeneous Graph Attention Networks.

Yahui Long, Yu Zhang, Min Wu, Shaoliang Peng, Chee Keong Kwoh, Jiawei Luo, Xiaoli Li

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019

WMGHMDA: a novel weighted meta-graph-based model for predicting human microbe-disease association on heterogeneous information network.

Yahui Long, Jiawei Luo

BMC Bioinform., 2019