Adding a t-SNE-based hierarchical item clustering step to graph contrastive learning yields small accuracy gains on three benchmark recommendation datasets.
Heteroge- neous graph contrastive learning for recommendation
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HGCL: Hierarchical Graph Contrastive Learning for User-Item Recommendation
Adding a t-SNE-based hierarchical item clustering step to graph contrastive learning yields small accuracy gains on three benchmark recommendation datasets.