Mitigating Class Imbalance in Graph-Structured Data via Hierarchical Learning: Insights from Protein Binding Site Prediction
Vinícius de Almeida Paiva, Leandro Marcolino, Sandro Carvalho Izidoro, Sabrina de Azevedo Silveira
The paper introduces CLARA, a hierarchical learning framework to mitigate class imbalance in graph data, achieving high F1-score in protein binding site prediction.
bioRxiv · Oct 4, 2026 · PreprintBioinformatics