Node Classification On Amz Comp
Metriken
Accuracy
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Vergleichstabelle
| Modellname | Accuracy |
|---|---|
| graph-infoclust-leveraging-cluster-level-node | 81.5 ± 1.0 |
| diffusion-improves-graph-learning-1 | 86.77% |
| half-hop-a-graph-upsampling-approach-for | 84.79% |
| half-hop-a-graph-upsampling-approach-for | 90.22% |
| half-hop-a-graph-upsampling-approach-for | 90.92% |
| half-hop-a-graph-upsampling-approach-for | 86.6% |
| sign-scalable-inception-graph-neural-networks | 85.93 ± 1.21 |