Feature-based domain adaptation methods project samples from different domains into the same feature space and try to align the distribution of two domains to learn an effective transferable model.

Recently, some researchers have proposed continuous-time graph approaches. However, they often fail to fully incorporate security domain knowledge, and suffer from detection target bias.