OpenCodePapers

collaborative-filtering-on-movielens-100k

Recommendation Systems
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PaperCodeRMSE (u1 Splits)RMSE (Random 90/10 Splits)RMSEModelNameReleaseDate
[]()0.884CDLD-GR (doi: 10.5281/zenodo.15851754)
GHRS: Graph-based Hybrid Recommendation System with Application to Movie Recommendation✓ Link0.887GHRS2021-11-06
GLocal-K: Global and Local Kernels for Recommender Systems✓ Link0.8889GLocal-K2021-08-27
Interpretable Recommender System With Heterogeneous Information: A Geometric Deep Learning Perspective✓ Link0.890MG-GAT2020-09-20
Attribute-aware non-linear co-embeddings of graph features✓ Link0.8970.883GraphRec + Feat2019-09-16
Attribute-aware non-linear co-embeddings of graph features✓ Link0.9040.887GraphRec2019-09-16
Inductive Matrix Completion Based on Graph Neural Networks✓ Link0.905IGMC2019-04-26
Graph Convolutional Matrix Completion✓ Link0.905GC-MC2017-06-07
Graph Convolutional Matrix Completion✓ Link0.910GC-MC2017-06-07
Deep Models of Interactions Across Sets✓ Link0.91Self-Supervised Exchangeable Model2018-03-07
Scalable Probabilistic Matrix Factorization with Graph-Based Priors✓ Link0.9174GRAEM / KPMF2019-08-25
Deep Models of Interactions Across Sets✓ Link0.920Factorized EAE2018-03-07
Weighted Multi-Level Feature Factorization for App ads CTR and installation prediction✓ Link0.928WMLFF2023-08-03
Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks✓ Link0.929sRGCNN2017-04-22
Collaborative Filtering with Graph Information: Consistency and Scalable Methods✓ Link0.945GRALS2015-12-01
Matrix Completion on Graphs✓ Link0.996GMC2014-08-07
A federated graph neural network framework for privacy-preserving personalization✓ Link0.910FedPerGNN2022-06-02
FedGNN: Federated Graph Neural Network for Privacy-Preserving Recommendation0.92FedGNN2021-02-09
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