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SotA/Knowledge Base/Recommendation Systems/MovieLens 100K

Recommendation Systems on MovieLens 100K

Metric: RMSE (u1 Splits) (lower is better)

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#Model↕RMSE (u1 Splits)▲Extra DataPaperDate↕Code
1CDLD-GR (doi: 10.5281/zenodo.15851754)0.884No---
2GHRS0.887NoGHRS: Graph-based Hybrid Recommendation System w...2021-11-06Code
3GLocal-K0.8889NoGLocal-K: Global and Local Kernels for Recommend...2021-08-27Code
4MG-GAT0.89Yes--Code
5GraphRec + Feat0.897Yes--Code
6GraphRec0.904No--Code
7IGMC0.905NoInductive Matrix Completion Based on Graph Neura...2019-04-26Code
8GC-MC0.905YesGraph Convolutional Matrix Completion2017-06-07Code
9GC-MC0.91NoGraph Convolutional Matrix Completion2017-06-07Code
10Self-Supervised Exchangeable Model0.91NoDeep Models of Interactions Across Sets2018-03-07Code
11GRAEM / KPMF0.9174YesScalable Probabilistic Matrix Factorization with...2019-08-25Code
12Factorized EAE0.92NoDeep Models of Interactions Across Sets2018-03-07Code
13WMLFF0.928NoWeighted Multi-Level Feature Factorization for A...2023-08-03Code
14sRGCNN0.929YesGeometric Matrix Completion with Recurrent Multi...2017-04-22Code
15GRALS0.945Yes--Code
16GMC0.996YesMatrix Completion on Graphs2014-08-07Code