Abstract: Existing graph adversarial defense algorithms cannot recover the implicit relationships of a bipartite graph that have been disrupted by adversarial attacks. To address this issue, this ...

Abstract: Traditional deep learning methods have achieved remarkable success by leveraging large-scale labeled datasets. However, in real-world applications, acquiring labeled data is often expensive, ...