This paper is a re-implementation of the existing LightGCL recommender model and reports benchmark gains, but its tables and placeholders do not support the claimed improvements.
Revisitinggraphbasedcollabora- tive f iltering: A linear residual graph convolutional network approach
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Graph Contrastive Learning for Optimizing Sparse Data in Recommender Systems with LightGCL
This paper is a re-implementation of the existing LightGCL recommender model and reports benchmark gains, but its tables and placeholders do not support the claimed improvements.