Wenrui Zhao

Pareto-Based Heterogeneous Knowledge Distillation for MLPs on Graphs

Heterogeneous Graph Neural Networks (HGNNs) have demonstrated remarkable capabilities in capturing effective information in heterogeneous graphs, achieving outstanding performance in various learning tasks. However, the heavy dependency of HGNNs on neighbors information may result in high latency, w