Dynamic Graph Neural Networks Under Spatio-Temporal Distribution Shift

Lastly, we propose an invariance regularization term to minimize the variance of predictions in intervened distributions so that our model can make predictions based on invariant patterns with stable predictive abilities and therefore handle distribution shifts.