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Cardinality-Decomposed Loss

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04:00

2026-07-24

machinebrief.com

machine-learning

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

Researchers propose Cardinality-Decomposed Loss (CDL) to address a silent failure in Graph Neural Networks for heterogeneous recommendation graphs, where Bayesian Personalized Ranking (BPR) causes att…

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