Li-Ye Zhu

Prior-Informed Graph Skeleton Learning for ncRNA–Drug Resistance Association Prediction

The Prior-RDRGSE framework integrates both dependency-aware graph noise modeling and domain knowledge into graph representation learning, and introduces a resistance consistency constraint based on KL divergence, which regularizes model training by aligning the learned association distribution with prior distributions...