2025
Graph Few-Shot Learning via Adaptive Spectrum Experts and Cross-Set Distribution Calibration
NeurIPS 2025poster
Graph few-shot learning has attracted increasing attention due to its ability to rapidly adapt models to new tasks with only limited labeled nodes. Despite the remarkable progress made by existing graph few-shot learning methods, several key limitations remain. First, most current approaches rely on…