most citedA Post-Training Framework for Improving Heterogeneous Graph Neural Networks

6 citations · 6 across the 1 of their papers we have counts for

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cs.SI2023★ 6 cited

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…