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Updated: Jun 19, 2025

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综合转移学习和多任务学习策略构建图形神经网络模型,用于预测化学品的生物积累参数

Zijun Xiao1, Minghua Zhu1,2, Jingwen Chen1

  • 1Key Laboratory of Industrial Ecology and Environmental Engineering (Ministry of Education), Dalian Key Laboratory on Chemicals Risk Control and Pollution Prevention Technology, School of Environmental Science and Technology, Dalian University of Technology, Dalian 116024, China.

Environmental science & technology
|July 25, 2024
PubMed
概括

这项研究引入了一种新的TL-MTL-GNN模型,以准确预测化学生物积累. 这种方法克服了数据的局限性,识别了超过13,000种生物累积化学物质,以提高环境安全.

关键词:
生物积累因子的生物积累因子生物度因子生物度因子生物放大因子是生物放大因子.计算毒理学计算毒理学图表神经网络的神经网络多任务学习学习转移学习转移学习

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