A Post-Training Framework for Improving Heterogeneous Graph Neural Networks

Cheng Yang, Xumeng Gong, Chuan Shi +1

Recent years have witnessed the success of heterogeneous graph neural networks (HGNNs) in modeling heterogeneous information networks (HINs). In this paper, we focus on the benchma…