MKAN-MMI: empowering traditional medicine-microbe interaction prediction with masked graph autoencoders and KANs

The growing microbial resistance to traditional medicines necessitates in-depth analysis of medicine-microbe interactions (MMIs) to develop new therapeutic strategies. Widely used artificial intelligence models are limited by sparse observational data and prevalent noise, leading to over-reliance on...

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Váldodahkkit: Sheng Ye (Dahkki), Jue Wang (Dahkki), Mingmin Zhu (Dahkki), Sisi Yuan (Dahkki), Linlin Zhuo (Dahkki), Tiancong Chen (Dahkki), Jinjian Gao (Dahkki)
Materiálatiipa: Girji
Almmustuhtton: Frontiers Media S.A., 2024-10-01T00:00:00Z.
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3rd Floor Main Library

oažžasuvvan: 3rd Floor Main Library
Hildobáiki: A1234.567
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