HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model

Yuling Wang, Zihui Chen, Pengfei Jiao +1

Heterogeneous Graph Neural Networks (HGNNs) are vulnerable, highlighting the need for tailored attacks to assess their robustness and ensure security. However, existing HGNN attack…