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Author

Zhengwei Li

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Book Open access Aug 2026

MuSeL: A Multi-Scale Adaptive Graph Representation Learning Framework for Microbe-Drug Association Prediction

MuSeL is proposed, a multi-scale adaptive graph representation learning framework that jointly mitigates the above issues from two complementary perspectives: global topology modeling and local structure optimization.

Yuehu Wu, Lei Wang, Zhengwei Li et al. · 0 citations
Sep 2026

Multi-view Graph Learning Framework with Spectral Encoding and Sparse Cross-Attention for miRNA-Drug Association Prediction.

Experimental results show that MVGSCA effectively integrates heterogeneous biological information and achieves superior prediction performance, offering valuable insights into cancer resistance mechanisms and supporting drug discovery efforts.

Ru Nie, Ying Fu, Zhengwei Li et al. · 0 citations
Book Open access Aug 2026

MuSeL: A Multi-Scale Adaptive Graph Representation Learning Framework for Microbe-Drug Association Prediction

MuSeL is proposed, a multi-scale adaptive graph representation learning framework that jointly mitigates the above issues from two complementary perspectives: global topology modeling and local structure optimization.

Yuehu Wu, Lei Wang, Zhengwei Li et al. · 0 citations
Jul 2026

Predicting miRNA-disease associations based on adaptive neighborhood propagation and feature spatial recombination.

A novel GNN framework, APKAGN, designed for predicting miRNA-disease associations significantly enhances the accuracy of MDAs prediction, offering a powerful tool for investigating disease mechanisms and identifying biomarkers.

Ru Nie, Yingkai Li, Zhengwei Li et al. · 0 citations

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