Collaborative Filtering On Douban

RMSE

Results

Performance results of various models on this benchmark

		Paper Title
FedGNN	0.79	FedGNN: Federated Graph Neural Network for Privacy-Preserving Recommendation
FedPerGNN	0.775	A federated graph neural network framework for privacy-preserving personalization
GRALS	0.714	Collaborative Filtering with Graph Information: Consistency and Scalable Methods
U-CFN	0.7049	Hybrid Recommender System based on Autoencoders
I-CFN	0.6911	Hybrid Recommender System based on Autoencoders
DGRec	-	Session-based Social Recommendation via Dynamic Graph Attention Networks
∞-AE	-	Infinite Recommendation Networks: A Data-Centric Approach

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