[Research] Bayesian Graph Neural Network for Sparse Interaction Recommendation

The Bayesian Graph Collaborative Filtering (BGCF) Model

To address the uncertainty of interaction between users and objects due to observational noise or insufficient data in recommender systems, Noah's Ark Laboratory and the MindSpore team jointly proposed the Bayesian Graph Collaborative Filtering (BGCF) model [1].

In the game app recommendation scenario, the model improves the performance in terms of LogLoss on cold-start users and warm-start users by 2.48% and 1.71%, respectively. This improvement proves the effectiveness of the model in alleviating …

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