Adding a t-SNE-based hierarchical item clustering step to graph contrastive learning yields small accuracy gains on three benchmark recommendation datasets.
Leveraging contrastive learning for enhanced node representations in tokenized graph transformers.Advances in Neural Information Processing Systems, 37:85824–85845, 2024
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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.