Author

Lei Wang

2 papers indexed here

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Open access Aug 2026

A microbe–drug association prediction model based on graph attention networks and rotation forest

Background In recent years, with the diversification and expansion of drug research in the medical field, the widespread use of drugs, particularly antibiotics, has led to increased microbial resistance. Consequently, exploring potential associations between drugs and microbes has become critically important. However,...

Jing Li, Jun-Cai Li, Qi-Jia Chen et al. · Frontiers in Bioinformatics · 0 citations

Open access Sep 2026

A Graph Convolutional Network Framework Integrating Nuclear Norm Minimization and Conditional Random Fields for Microbe–Disease Association Prediction

A novel predictive model, NNGCFCAE is proposed, which integrates Nuclear Norm Minimization (NNM), an enhanced Graph Convolutional Network (GCF) with an energy-based Conditional Random Field (CRF) smoothing mechanism, and a multi-channel convolutional autoencoder (CAE) with residual connections to effectively infer late...

Zhen Zhang, Xiang-Jun Hu, Jia-Cheng Lai et al. · Algorithms · 0 citations