Unifying gradient regularization for Heterogeneous Graph Neural Networks

Xiao Yang, Xuejiao Zhao, Zhiqi Shen

Heterogeneous Graph Neural Networks (HGNNs) are a class of powerful deep learning methods widely used to learn representations of heterogeneous graphs. Despite the fast development…