Node Classification on Cora (Accuracy and Bits)
79.1AccuracyLoRAP
Evaluation results
| Method | Links | ||
|---|---|---|---|
| LoRAPQuantization Framework=A2Q, Backbone=GCN2026.01 | 79.1 | 1.7 | |
| GPF-LoRAPQuantization Framework=A2Q, Backbone=GCN2026.01 | 79.1 | 1.7 | |
| UniPromptQuantization Framework=A2Q, Backbone=GCN2026.01 | 78.5 | 1.7 | |
| GPF-LoRAPQuantization Framework=DQ, Backbone=GCN2026.01 | 78 | 4 | |
| GPF-PlusQuantization Framework=A2Q, Backbone=GCN2026.01 | 78 | 1.7 | |
| LoRAPQuantization Framework=DQ, Backbone=GCN2026.01 | 77.7 | 4 | |
| GPF-LoRAPQuantization Framework=MixQ, Backbone=GCN2026.01 | 76.5 | 3.8 | |
| A2QQuantization Framework=A2Q, Backbone=GCN2026.01 | 76.1 | 1.7 | |
| EdgePrompt+Quantization Framework=A2Q, Backbone=GCN2026.01 | 75.9 | 1.7 | |
| LoRAPQuantization Framework=MixQ, Backbone=GCN2026.01 | 75.9 | 3.8 | |
| UniPromptQuantization Framework=MixQ, Backbone=GCN2026.01 | 73.6 | 3.9 | |
| EdgePrompt+Quantization Framework=DQ, Backbone=GCN2026.01 | 73.1 | 4 | |
| UniPromptQuantization Framework=DQ, Backbone=GCN2026.01 | 72.8 | 4 | |
| DQQuantization Framework=DQ, Backbone=GCN2026.01 | 72.5 | 4 | |
| GPF-PlusQuantization Framework=DQ, Backbone=GCN2026.01 | 72.3 | 4 | |
| GPF-PlusQuantization Framework=MixQ, Backbone=GCN2026.01 | 71.3 | 3.8 | |
| EdgePrompt+Quantization Framework=MixQ, Backbone=GCN2026.01 | 71.2 | 3.8 | |
| MixQQuantization Framework=MixQ, Backbone=GCN2026.01 | 68.7 | 3.8 |