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[2010. 10783] Self-supervised Graph Learning for Recommendation We term this new learning paradigm as \textit {Self-supervised Graph Learning} (SGL), implementing it on the state-of-the-art model LightGCN Through theoretical analyses, we find that SGL has the ability of automatically mining hard negatives
SIGIR‘21|SGL基于图自监督学习的推荐系统 - CSDN博客 本篇文章主要介绍王翔、何向南老师团队在SIGIR2021上发表的文章SGL，Self-supervised Graph Learning for Recommendation [1]。 这篇文章提出了一种应用于用户-物品二分图推荐系统的图自监督学习框架。
SGL: Scalable Graph Learning - GitHub SGL allows users to easily implement scalable graph neural networks and evaluate its performance on various downstream tasks like node classification, node clustering, and link prediction