38 citations · 190 across the 17 of their papers we have counts for
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cs.SI2023
A Generalized Neural Diffusion Framework on Graphs
Yibo Li, Xiao Wang, Hongrui Liu +1
Recent studies reveal the connection between GNNs and the diffusion process, which motivates many diffusion-based GNNs to be proposed. However, since these two mechanisms are close…
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…