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20232026
most citedGenerative and Contrastive Paradigms Are Complementary for Graph Self-Supervised Learning

2 citations · 2 across the 10 of their papers we have counts for

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cs.IR2026

End-to-End Semantic ID Generation for Generative Advertisement Recommendation

Jie Jiang, Xinxun Zhang, Enming Zhang +8

Generative Recommendation (GR) has excelled by framing recommendation as next-token prediction. This paradigm relies on Semantic IDs (SIDs) to tokenize large-scale items into discr…