Curriculum adaptation method based on graph neural networks for universal domain adaptation

Cangning Fan, Peng Liu, Wei Zhao

Abstract: Highlights•The curriculum learning is introduced into universal domain adaptation.•A curriculum strategy is proposed to solve negative transfer.•A score mechanism is proposed to detect private samples.•Graph neural networks are used to aggregate features across domains.•Self-supervision learning is introduced to prevent overfiting.