Hongmei Qin

A multi-view contrastive learning framework with information bottleneck for metabolite-disease association prediction

Experimental results demonstrate that MVCL-IB consistently outperforms competing methods across multiple evaluation metrics, and suggest that MVCL-IB provides an effective framework for prioritizing potential metabolite-disease associations.