CAT: Can Trust be Predicted with Context-Awareness in Dynamic Heterogeneous Networks?
CAT is proposed, the first Context-Aware GNN-based Trust prediction model that supports trust dynamicity and accurately represents real-world heterogeneity, and introduces a new notion of meta-paths to extract contextual features.