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Yahui Long
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2020 – today
- 2023
- [j14]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) - [j13]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) - [j12]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) - [j11]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): 14859-14872 (2023) - [c3]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: 408-411 - [c2]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: 422-427 - 2022
- [j10]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): 2254-2262 (2022) - 2021
- [j9]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) - [j8]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): 2432-2440 (2021) - [j7]Yu Zhang, Yahui Long
, Chee Keong Kwoh
:
Class similarity network for coding and long non-coding RNA classification. BMC Bioinform. 22(1): 609 (2021) - [j6]Yahui Long
, Jiawei Luo
:
Association Mining to Identify Microbe Drug Interactions Based on Heterogeneous Network Embedding Representation. IEEE J. Biomed. Health Informatics 25(1): 266-275 (2021) - 2020
- [j5]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: 76610-76617 (2020) - [j4]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): 4918-4927 (2020) - [j3]Yu Zhang
, Yahui Long
, Chee Keong Kwoh
:
Deep learning based DNA: RNA triplex forming potential prediction. BMC Bioinform. 21(1): 522 (2020) - [j2]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): 1341-1351 (2020) - [c1]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: 455-459
2010 – 2019
- 2019
- [j1]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): 541:1-541:18 (2019)
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