Efﬁcient Non-Sampling Graph Neural Networks

Pierpaolo Basile Birgitta Dresp-Langley Jianchao Ji Zelong Li Shuyuan Xu Ying-Qiang Ge Juntao Tan Yongfeng Zhang

· 0 citations · 36 references

TL;DR

The main idea is to use all the negative samples when optimizing the learning objective to avoid the sampling process, and rearrange the origin loss function into a linear form and take advantage of meticulous mathematical derivation to reduce the complexity of the loss function.

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