Training Graph Neural Networks (GNNs) on large-scale graphs in the deep learning era can be expensive. While graph condensation has recently emerged as a promising approach through which to reduce training cost by compressing large graphs into smaller ones and for preserving most knowledge. its capability in treating different node subgroups fairly during compression remains unexplore... https://www.bekindtopets.com/amazing-find-ChewMax-Chicken-Feet-top-grab/