MG-GAT

Reported on 4 benchmarks across 1 task

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

Knowledge Base4 results

Recommendation SystemsonMovieLens 100K
RMSE (u1 Splits)· uses extra data
0.89
best: 0.884 (CDLD-GR (doi: 10.5281/zenodo.15851754))
Recommendation SystemsonYahooMusic Monti
RMSE· uses extra data
18.9
Recommendation SystemsonDouban Monti
RMSE· uses extra data
0.727
best: 0.7208 (GLocal-K)
Recommendation SystemsonFlixster Monti
RMSE· uses extra data
0.876
best: 0.872 (IGMC)