All publications
Publication

Fast graph condensation with structure-based neural tangent kernel

WWW 2024 CCF A

Graph Condensation

Cite this work View paper
Citation

Lin Wang, Wenqi Fan, Jiatong Li, Yao Ma, and Qing Li. (2023). Fast graph condensation with structure-based neural tangent kernel. arXiv preprint arXiv:2310.11046. (Accepted by WWW 24)

GC-SNTK formulates graph condensation as kernel ridge regression. A structure-based neural tangent kernel captures graph topology and removes the need to repeatedly train a graph neural network in the inner optimization loop.

The experiments measure condensation speed and downstream prediction performance on the condensed graphs.

Read the paper