I am wondering if there are any explainable methods for GNNs designed for regression tasks (e.g., traffic forecasting) where nodes have numerical features and the predicted output is a numerical value. Most of research papers focus on node classification tasks (GNNexplainer, etc.) but do not specify if these techniques are fit for node-regression tasks.