Kunyu Ni

S²HyRec: Self-Supervised Hypergraph Sequential Recommendation

Sequential recommendation models analyze user historical behavior sequences to capture temporal dependencies and the dynamic evolution of interests, enabling accurate predictions of future behaviors. However, there are still two critical challenges that remain unsolved: i) Inadequate temporal modeli