Node Classification On Twitch Gamers
Metriken
Accuracy
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Modellname | Accuracy | Paper Title | Repository |
|---|---|---|---|
| LINKX | 66.06±0.19 | Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods | |
| Dual-Net GNN | 66.36±0.11 | Feature Selection: Key to Enhance Node Classification with Graph Neural Networks |
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