Dual Prompt Adaptation for Zero-Shot Classification on Text-attributed Graphs
Graph learning plays a crucial role in capturing valuable information from both graph structures and node attributes. Despite their success, existing methods struggle to generalize to unseen datasets or classes. To achieve robust generalization, we identify two essential capabilities a graph model should possess: (1) Z...