Federated Social Recommendation with Graph Neural Network

@article{Liu2022FederatedSR,
  title={Federated Social Recommendation with Graph Neural Network},
  author={Zhiwei Liu and Liangwei Yang and Ziwei Fan and Hao Peng and Philip S. Yu},
  journal={ACM Transactions on Intelligent Systems and Technology (TIST)},
  year={2022}
}
Recommender systems have become prosperous nowadays, designed to predict users’ potential interests in items by learning embeddings. Recent developments of the Graph Neural Networks (GNNs) also provide recommender systems with powerful backbones to learn embeddings from a user-item graph. However, only leveraging the user-item interactions suffers from the cold-start issue due to the difficulty in data collection. Hence, current endeavors propose fusing social information with user-item… 
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