2 papers
cs.LG2025
DRExplainer: Quantifiable Interpretability in Drug Response Prediction with Directed Graph Convolutional Network
Haoyuan Shi, Tao Xu, Xiaodi Li +4
Predicting the response of a cancer cell line to a therapeutic drug is pivotal for personalized medicine. Despite numerous deep learning methods that have been developed for drug r…
cs.LG2024
Controllable Edge-Type-Specific Interpretation in Multi-Relational Graph Neural Networks for Drug Response Prediction
Xiaodi Li, Jianfeng Gui, Qian Gao +2
Graph Neural Networks have been widely applied in critical decision-making areas that demand interpretable predictions, leading to the flourishing development of interpretability a…