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NPI-HGNN: A Heterogeneous Graph Neural Network-Based Approach for Predicting ncRNA-Protein Interactions.

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Title: NPI-HGNN: A Heterogeneous Graph Neural Network-Based Approach for Predicting ncRNA-Protein Interactions.
Authors: Zhang X; College of Information Engineering, Northwest A&F University, Yangling, 712100, China., Ma H; College of Information Engineering, Northwest A&F University, Yangling, 712100, China., Wang S; College of Information Engineering, Northwest A&F University, Yangling, 712100, China., Wu H; School of Software, Shandong University, Jinan, 250100, China., Jiang Y; Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China. yu.jiang@nwafu.edu.cn.; Key Laboratory of Livestock Biology, Northwest A&F University, Yangling, 712100, China. yu.jiang@nwafu.edu.cn., Liu Q; College of Information Engineering, Northwest A&F University, Yangling, 712100, China. liuqzhong@nwafu.edu.cn.; Shaanxi Engineering Research Center of Agricultural Information Intelligent Perception and Analysis, Northwest A&F University, Yangling, 712100, China. liuqzhong@nwafu.edu.cn.
Source: Interdisciplinary sciences, computational life sciences [Interdiscip Sci] 2025 Sep; Vol. 17 (3), pp. 649-661. Date of Electronic Publication: 2025 Feb 21.
Publication Type: Journal Article
Journal Info: Publisher: Springer-Verlag Country of Publication: Germany NLM ID: 101515919 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1867-1462 (Electronic) Linking ISSN: 18671462 NLM ISO Abbreviation: Interdiscip Sci Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: NPI-HGNN: A Heterogeneous Graph Neural Network-Based Approach for Predicting ncRNA-Protein Interactions.
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  Data: <searchLink fieldCode="AU" term="%22Zhang+X%22">Zhang X</searchLink>; College of Information Engineering, Northwest A&F University, Yangling, 712100, China.<br /><searchLink fieldCode="AU" term="%22Ma+H%22">Ma H</searchLink>; College of Information Engineering, Northwest A&F University, Yangling, 712100, China.<br /><searchLink fieldCode="AU" term="%22Wang+S%22">Wang S</searchLink>; College of Information Engineering, Northwest A&F University, Yangling, 712100, China.<br /><searchLink fieldCode="AU" term="%22Wu+H%22">Wu H</searchLink>; School of Software, Shandong University, Jinan, 250100, China.<br /><searchLink fieldCode="AU" term="%22Jiang+Y%22">Jiang Y</searchLink>; Key Laboratory of Animal Genetics, Breeding and Reproduction of Shaanxi Province, College of Animal Science and Technology, Northwest A&F University, Yangling, 712100, China. yu.jiang@nwafu.edu.cn.; Key Laboratory of Livestock Biology, Northwest A&F University, Yangling, 712100, China. yu.jiang@nwafu.edu.cn.<br /><searchLink fieldCode="AU" term="%22Liu+Q%22">Liu Q</searchLink>; College of Information Engineering, Northwest A&F University, Yangling, 712100, China. liuqzhong@nwafu.edu.cn.; Shaanxi Engineering Research Center of Agricultural Information Intelligent Perception and Analysis, Northwest A&F University, Yangling, 712100, China. liuqzhong@nwafu.edu.cn.
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        Value: 10.1007/s12539-025-00689-4
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      – TitleFull: NPI-HGNN: A Heterogeneous Graph Neural Network-Based Approach for Predicting ncRNA-Protein Interactions.
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