Dynamic Graph Neural Networks Under Spatio-Temporal Distribution Shift (Appendix)

It is widely adopted in out-of-distribution generalization literature [1, 2, 3, 4, 5, 6, 7] about the assumption that the relationship between labels and some parts of features is invariant across data distributions, and these subsets of features with such properties are called invariant features.