2026
GraphSculptor: Sculpting Pre-training Core Sets for Graph Self-supervised Learning
IJCAI 2026
Graph self-supervised learning (SSL) typically relies on large-scale unlabeled datasets, heavily inflating computational costs. However, empirical evidence suggests that these datasets contain substantial redundancy—our analysis reveals that uniformly subsampling 50% of graphs retains over 96% of do