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一致的语义表示学习用于分布外的分子性质预测

Xinlong Wen1, Hao Liu1, Wenhan Long1

  • 1College of Informatics, Huazhong Agricultural University, No.1 Shizishan Street, Hongshan District, Wuhan, 430070, Hubei, People's Republic of China.

Briefings in bioinformatics
|April 10, 2025
PubMed
概括

本研究引入了一种一致的语义表示学习 (CSRL) 框架,以改善分布外分子性质预测. CSRL通过确保在不同分子表示中保持一致的语义理解来提高模型性能,从而提高准确性.

关键词:
一致的语义语义一致.分子性质预测分子性质预测已经不再分销的产品.代表性学习学习学习

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