most citedL^2CL: Embarrassingly Simple Layer-to-Layer Contrastive Learning for Graph Collaborative Filtering

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cs.LG2024

Revisiting Graph Autoencoders as Implicit Contrastive Learners

Jintang Li, Ruofan Wu, Yuchang Zhu +3

Graph autoencoders (GAEs) and graph contrastive learning (GCL) are two major paradigms for self-supervised representation learning on graphs, yet they are often studied in isolatio…