Hak-Keung Lam

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

Semantic Global Graph with Multi-layer Alignment for Recommendation (SeGMA4Rec), which combines item-level semantic enrichment with sequence-level hierarchical regularization, is proposed and achieves strong and generally superior performance over competitive baselines.