Recommendation Systems On Douban Monti

Metrics

RMSE

Results

Performance results of various models on this benchmark

		Paper Title
GRALS	0.8326	Collaborative Filtering with Graph Information: Consistency and Scalable Methods
sRGCNN	0.8012	Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks
Factorized EAE	0.738	Deep Models of Interactions Across Sets
GC-MC	0.734	Graph Convolutional Matrix Completion
GRAEM / KPMF	0.7323	Scalable Probabilistic Matrix Factorization with Graph-Based Priors
MG-GAT	0.727	Interpretable Recommender System With Heterogeneous Information: A Geometric Deep Learning Perspective
IGMC	0.721	Inductive Matrix Completion Based on Graph Neural Networks
GLocal-K	0.7208	GLocal-K: Global and Local Kernels for Recommender Systems

0 of 8 row(s) selected.

Recommendation Systems On Douban Monti

Metrics

RMSE

Results

Performance results of various models on this benchmark

		Paper Title
GRALS	0.8326	Collaborative Filtering with Graph Information: Consistency and Scalable Methods
sRGCNN	0.8012	Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks
Factorized EAE	0.738	Deep Models of Interactions Across Sets
GC-MC	0.734	Graph Convolutional Matrix Completion
GRAEM / KPMF	0.7323	Scalable Probabilistic Matrix Factorization with Graph-Based Priors
MG-GAT	0.727	Interpretable Recommender System With Heterogeneous Information: A Geometric Deep Learning Perspective
IGMC	0.721	Inductive Matrix Completion Based on Graph Neural Networks
GLocal-K	0.7208	GLocal-K: Global and Local Kernels for Recommender Systems

0 of 8 row(s) selected.