G2Rec unifies holistic graph-based user co-engagement modeling with semantic tokenization for scalable generative recommendation without ground-truth user interests.
Multi-modal hypergraph enhanced llm learning for recommendation
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2representative citing papers
citing papers explorer
-
Structuring and Tokenizing Distributed User Interest Context for Generative Recommendation
G2Rec unifies holistic graph-based user co-engagement modeling with semantic tokenization for scalable generative recommendation without ground-truth user interests.
- Hypergraph as Language