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V. G

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Open access Aug 2026

Tail—aware heterogeneous graph neural networks for multi—class drug—drug interaction prediction

Among class imbalance strategies tested, Tail-Aware Focal Loss outperforms standard cross-entropy by 3.1% on Macro F1 and 7.4% on Recall, striking a better balance between class performance than either weighted cross-entropy or weighted random sampling.

Varshini Venkatesh, Varsha G, Dhannya S. M. · Bioinformatics · 0 citations