From Imbalance to Evidence: Deep Nonparametric Testing for Complex Data under Severe Sample Imbalance

Comparing distributions under severe sample imbalance requires effectively using abundant majority observations while retaining sensitivity to differences involving the smaller sample. This challenge is particularly relevant for complex, non-Euclidean data, such as graphs, whose structural character