Algorithmic Reasoning on CLRS (Categorical)
94.74Accuracy (Graphs)M-ReNAR
Evaluation Results
| Method | Links | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| M-ReNARprocessor=Triplet-GMPNN2026.05 | 94.74 | 95.83 | 74.72 | 87.55 | 81.54 | 94.35 | 61.22 | 90.51 | 88.41 | |
| ReNARprocessor=Triplet-GMPNN2026.05 | 93.75 | 95.83 | 62.7 | 88.23 | 79.22 | 93.1 | 58.89 | 92.13 | 87.11 | |
| G-ForgetNet2026.05 | 88.8 | 95.09 | 54.74 | 86.7 | 78.97 | 91.79 | 63.84 | 78.09 | 82.89 | |
| CEF-GMPNN2026.05 | 86.99 | 95.38 | 70.86 | 86.23 | 76.38 | 92.61 | 61.74 | 81.52 | 82.68 | |
| Triplet-GMPNN2026.05 | 86.68 | 96.21 | 63.4 | 86.59 | 78.81 | 92.65 | 61.14 | 86.52 | 83.63 | |
| Prior Best2026.05 | 64.98 | 92.48 | 4.08 | 76 | 65.23 | 84.13 | 56.11 | 71.53 | 66.04 |