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Models/GC-MC

GC-MC

Reported on 6 benchmarks across 1 task · 1 paper · 5 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Knowledge Base7 results

Recommendation SystemsonMovieLens 100K
RMSE (u1 Splits)· uses extra data· 2017-06-07
0.905
best: 0.884 (CDLD-GR (doi: 10.5281/zenodo.15851754))
SOTA
Graph Convolutional Matrix Completion arXiv:1706.02263
Recommendation SystemsonMovieLens 100K
RMSE (u1 Splits)· 2017-06-07
0.91
best: 0.884 (CDLD-GR (doi: 10.5281/zenodo.15851754))
SOTA
Graph Convolutional Matrix Completion arXiv:1706.02263
Recommendation SystemsonYahooMusic Monti
RMSE· uses extra data· 2017-06-07
20.5
best: 18.9 (MG-GAT)
SOTA
Graph Convolutional Matrix Completion arXiv:1706.02263
Recommendation SystemsonDouban Monti
RMSE· uses extra data· 2017-06-07
0.734
best: 0.7208 (GLocal-K)
SOTA
Graph Convolutional Matrix Completion arXiv:1706.02263
Recommendation SystemsonFlixster Monti
RMSE· uses extra data· 2017-06-07
0.917
best: 0.872 (IGMC)
SOTA
Graph Convolutional Matrix Completion arXiv:1706.02263
Recommendation SystemsonMovieLens 1M
RMSE· 2017-06-07
0.832
best: 0.8227 (GLocal-K)
Graph Convolutional Matrix Completion arXiv:1706.02263
Recommendation SystemsonMovieLens 10M
RMSE· 2017-06-07
0.777
best: 0.7485 (Bayesian timeSVD++ flipped)
Graph Convolutional Matrix Completion arXiv:1706.02263