10 citations · 12 across the 4 of their papers we have counts for
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cs.LG2023
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…
cs.CV2023★ 10 cited
Common Diffusion Noise Schedules and Sample Steps are Flawed
Shanchuan Lin, Bingchen Liu, Jiashi Li +1
We discover that common diffusion noise schedules do not enforce the last timestep to have zero signal-to-noise ratio (SNR), and some implementations of diffusion samplers do not s…