Node Classification on Books
92.44AccuracyNOPE*
Evaluation results
| Method | Links | ||
|---|---|---|---|
| NOPE*coarsening ratio=0.5, category=Ours2026.05 | 92.44 | — | |
| NOPEcoarsening ratio=0.5, category=Ours2026.05 | 91.7 | — | |
| A-CMcoarsening ratio=0.5, category=Graph Coarsening2026.05 | 91.62 | — | |
| RAGcoarsening ratio=0.5, category=Full Graph2026.05 | 90.8 | — | |
| Randomcoarsening ratio=0.5, category=Full Graph2026.05 | 89.96 | — | |
| Degreecoarsening ratio=0.5, category=Full Graph2026.05 | 89.94 | — | |
| TIER2026.03 | 85.15 | — | |
| TAPE2026.03 | 84.92 | — | |
| RoBERTa2026.03 | 84.62 | — | |
| SenBERT2026.03 | 83.68 | — | |
| LLaGA2026.03 | 83.47 | — | |
| GLEM2026.03 | 83.28 | — | |
| GCNLLM2026.03 | 83.03 | — | |
| ENGINE2026.03 | 82.89 | — | |
| GAugLLM2026.03 | 82.12 | — | |
| GIANT2026.03 | 81.99 | — | |
| GraphGPT2026.03 | 81.13 | — | |
| LLMIT2026.03 | 80.92 | — | |
| GATSE2026.03 | 74.35 | — | |
| SAGESE2026.03 | 72.01 | — | |
| GCNSE2026.03 | 68.79 | — |