Y. Choi

TaLK: Text-attributed Graph Dataset Distillation via Coupling Language Model with Graph-Aware Kernel

TaLK is proposed, an effective dataset distillation method for TAGs that couples an LM with a graph-aware neural tangent kernel that enables efficient dataset distillation, avoiding repeated joint training on the full dataset while reflecting both textual and structural information for effective TAG learning.