GPAWP prunes low-importance graph prompts using gradient-based importance masks and retunes the remaining prompts, improving few-shot node classification over HGPrompt on ACM, DBLP, and Freebase.
Cost-sensitive gnn-based imbalanced learning for mobile social network fraud detection,
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Heterogeneous Graph Prompt Learning via Adaptive Weight Pruning
GPAWP prunes low-importance graph prompts using gradient-based importance masks and retunes the remaining prompts, improving few-shot node classification over HGPrompt on ACM, DBLP, and Freebase.