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cs.LG2026
Regional Explanations via Causal Sufficiency and Necessity
Xuexin Chen, Peng Liang, Zijian Li +2
Model explainability is essential for understanding and trusting machine learning models. Existing explainable AI methods often explain predictions through feature importance, coun…
cs.LG2025
Interpretable High-order Knowledge Graph Neural Network for Predicting Synthetic Lethality in Human Cancers
Xuexin Chen, Ruichu Cai, Zhengting Huang +3
Synthetic lethality (SL) is a promising gene interaction for cancer therapy. Recent SL prediction methods integrate knowledge graphs (KGs) into graph neural networks (GNNs) and emp…