RR-GCN-PPV-CUT

Reported on 3 benchmarks across 1 task · 1 paper · 1 SOTA

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

Graphs3 results

Node ClassificationonBGS
Accuracy· 2022-03-04
84.14
best: 92.41 (SCENE)
SOTA
R-GCN: The R Could Stand for Random arXiv:2203.02424
Node ClassificationonAIFB
Accuracy· 2022-03-04
95.83
R-GCN: The R Could Stand for Random arXiv:2203.02424
Node ClassificationonAM
Accuracy· 2022-03-04
84.8
best: 92.41 (BoP)
R-GCN: The R Could Stand for Random arXiv:2203.02424