Author

Alireza Sahami Shirazi

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Jul 2026

Cardinality-Decomposed Loss: Matching Training Objectives to Relation Structure in Heterogeneous Recommendation Graphs

A Cardinality-Decomposed Loss (CDL) is proposed that combines both Cross Entropy (CE) and BPR to enable the model to collectively optimize for relations across cardinalities and is found that CDL consistently improves discriminability in attribute embeddings.

Parul Maheshwari, Amulya Paruchuri, Yiqing Zou et al. · arXiv.org · 0 citations