CARE: Cross-Domain Alignment by Reweighting Edges for Multi-View Graph Domain Adaptation

Multi-view graph domain adaptation (MGDA) transfers knowledge from a labeled source graph to an unlabeled target graph, where nodes are connected through multiple relation views. Existing methods typically perform message passing over fixed edge weights, so information specific to a domain or a relation view is aggregated layer after layer along each view's connection pattern and carried into the node representations that alignment must then reconcile. We propose Cross-domain Alignment By Reweighting Edges (CARE), an edge-reweighting framework for MGDA. CARE updates the edge weights of each relation view under the cross-domain alignment objective: edges that propagate information shared across domains are strengthened, and edges that propagate domain-specific or view-specific information are suppressed. Experimental results on a variety of benchmark datasets verify the effectiveness of our method.