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Mohamed Kone

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Open access Aug 2026

RGCNMDA: Pathway-Bridged Relational Graph Learning with Adaptive Multi-View Fusion for Human miRNA-Disease Association Prediction.

RGCNMDA is a leakage-controlled multi-view framework that integrates global latent structure, local profiles and similarities, and pathway context that supports the robustness of leakage-controlled multi-view learning across standard and cold-start evaluation settings.

Chao Hou, Mohamed Kone, Yang Xiang et al. · 0 citations