Graph Classification on REDDIT-B (test)
94.6AccuracyGPF-LoRAP
Evaluation results
| Method | Links | ||
|---|---|---|---|
| GPF-LoRAPQuantization=DQ-W8A8, Backbone=GIN2026.01 | 94.6 | — | |
| GPF-plusQuantization=DQ-W8A8, Backbone=GIN2026.01 | 94.1 | — | |
| GPF-LoRAPQuantization=DQ-W4A4, Backbone=GIN2026.01 | 93 | — | |
| CRAWL2021.02 | 92.75 | — | |
| GIN2021.02 | 92.4 | — | |
| GPF-plusQuantization=DQ-W4A4, Backbone=GIN2026.01 | 92.3 | — | |
| GINQuantization=FP32, Prompt Method=None2026.01 | 92.2 | — | |
| WEGL2021.02 | 92 | — | |
| PXGL-GNNlearning_mode=supervised2025.12 | 91.84 | — | |
| GINQuantization=DQ-W8A8, Prompt Method=None2026.01 | 91.8 | — | |
| ICGMM^fSource=Castellana et al. [7]2026.05 | 91.6 | — | |
| ICGMM^f_αγSource=Castellana et al. [7]2026.05 | 91.3 | — | |
| agg + I2026.05 | 90.7 | — | |
| SANlearning_mode=supervised2025.12 | 90.38 | — | |
| S2GAElearning_mode=supervised2025.12 | 90.21 | — | |
| ICLlearning_mode=supervised2025.12 | 90.13 | — | |
| GINSource=Errica et al. [16]2026.05 | 89.9 | — | |
| SAGNNlearning_mode=supervised2025.12 | 89.57 | — | |
| E-CGMMSource=Castellana et al. [7]2026.05 | 89.5 | — | |
| GINQuantization=DQ-W4A4, Prompt Method=None2026.01 | 89.4 | — | |
| 2D CNN2017.07 | 89.12 | 1.7 | |
| DiffPoolSource=Errica et al. [16]2026.05 | 89.1 | — | |
| SubGNNlearning_mode=supervised2025.12 | 88.47 | — | |
| CGMMSource=Castellana et al. [7]2026.05 | 88.1 | — | |
| DGCNNSource=Errica et al. [16]2026.05 | 87.8 | — | |
| DGCNNlearning_mode=supervised2025.12 | 86.33 | — | |
| PSCNk=102017.07 | 86.3 | 1.58 | |
| GRAPHSAGElearning_mode=supervised2025.12 | 85.59 | — | |
| GraphSAGESource=Errica et al. [16]2026.05 | 84.3 | — | |
| DiffPoollearning_mode=supervised2025.12 | 84.16 | — | |
| GINlearning_mode=supervised2025.12 | 83.27 | — | |
| Baseline (MLP)Source=Errica et al. [16]2026.05 | 82.2 | — | |
| GPF-LoRAPQuantization=QAT-W8A8, Backbone=GIN2026.01 | 81.2 | — | |
| WL-Kernel2021.02 | 81 | — | |
| WL2017.07 | 78.52 | 2.01 | |
| Deep GK2017.07 | 78.04 | 0.39 | |
| Graphlet2017.07 | 77.26 | 2.34 | |
| GINQuantization=QAT-W8A8, Prompt Method=None2026.01 | 76.1 | — | |
| GPF-plusQuantization=QAT-W8A8, Backbone=GIN2026.01 | 72.2 | — | |
| GPF-LoRAPQuantization=QAT-W4A4, Backbone=GIN2026.01 | 69.6 | — | |
| GPF-plusQuantization=QAT-W4A4, Backbone=GIN2026.01 | 53.8 | — | |
| GINQuantization=QAT-W4A4, Prompt Method=None2026.01 | 52.4 | — |