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

• 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.
• Fáttát: article
• Liŋkkat: Connect to this object online.

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...