SeGMA4Rec: Learning stable sequential representations through semantic graph propagation and hierarchical contrastive alignment.

Deep sequential encoders such as Transformers are widely used for modeling user behavior in sequential recommendation, yet their effectiveness can be limited when interaction sequences are short and sparse. In such settings, insufficient behavioral evidence makes it difficult to learn reliable repre