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Updated: Jul 10, 2025

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
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Published on: October 13, 2023

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通过基于图形神经网络的特征融合模型在蛋白质网络中实现链接预测

Chi Zhang1, Qian Gao1, Ming Li1

  • 1College of Computer and Control Engineering, Qiqihar University, Qiqihar 161006, China.

Computational biology and chemistry
|November 24, 2023
PubMed
概括

这项研究介绍了AGraphSAGE,这是一种新的图形神经网络模型,集成了基因本体学,以改善蛋白质-蛋白质相互作用预测. 该模型展示了有效的跨物种预测,增强了生物网络分析.

关键词:
图表注意力网络的图表.图形SAGE 图形SAGE 图形SAGE 图形SAGE 图形SAGE 图形SAGE链接预测链接预测蛋白质与蛋白质相互作用网络

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Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions06:50

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions

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