Yisong Huang

Training Graph Transformers via Curriculum-Enhanced Attention Distillation

Recent studies have shown that Graph Transformers (GTs) can be effective for specific graph-level tasks. However, when it comes to node classification, training GTs remains challenging, especially in semi-supervised settings with a severe scarcity of labeled data. Our paper aims to address this rese…