DAGPrompT combines low-rank adaptation of a pre-trained GNN's weights and message passing with per-hop class prompts, and reports consistent accuracy gains over 14 baselines on few-shot node and graph classification, especially on heterophily graphs.
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DAGPrompT: Pushing the Limits of Graph Prompting with a Distribution-aware Graph Prompt Tuning Approach
DAGPrompT combines low-rank adaptation of a pre-trained GNN's weights and message passing with per-hop class prompts, and reports consistent accuracy gains over 14 baselines on few-shot node and graph classification, especially on heterophily graphs.