Squirrel
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Node Classification | Squirrel | Accuracy83.49 | 786 | |
| Node Classification | SQUIRREL vanilla (test) | Miss-classification Rate1.33 | 322 | |
| Node classification | Squirrel (test) | Mean Accuracy76.01 | 301 | |
| Node Classification | Squirrel 60%/20%/20% random splits | Accuracy62.14 | 44 | |
| Node Classification | Squirrel (fixed) | Accuracy61.81 | 42 | |
| Node Classification | Squirrel (48/32/20) | Mean Accuracy74.1 | 40 | |
| Node Classification | Squirrel filtered | Accuracy41.8 | 35 | |
| Node Classification | Squirrel Standard (test) | Accuracy61.81 | 33 | |
| Node Classification | Squirrel (10 different splits) | Accuracy0.6181 | 27 | |
| Node Classification | Squirrel dense filtered | Accuracy42.66 | 26 | |
| Node Classification | Squirrel dense split original | Accuracy68.93 | 26 | |
| Out-of-Distribution Detection | Squirrel | Rank5 | 24 | |
| Node Classification | Squirrel L=L* (test) | Accuracy67.27 | 24 | |
| Node Classification | Squirrel fix (test) | Test Accuracy44.11 | 23 | |
| Node Classification | Squirrel Undirected (test) | Accuracy64.23 | 23 | |
| Node unlearning | Squirrel | Average Runtime (s)0.01 | 20 | |
| Node Regression | Squirrel | Normalized MAE Loss0.589 | 20 | |
| Node Classification | Squirrel heterophilic (test) | Error Rate (%)26.13 | 18 | |
| Node classification | Squirrel Poisoned | Accuracy48.53 | 17 | |
| Node Classification | Squirrel (60/20/20) | Accuracy57.5 | 17 | |
| Node Classification | Squirrel (48%/32%/20%) | Accuracy73.65 | 16 | |
| Node clustering | Squirrel (test) | Conductance0.24 | 15 | |
| Node Classification | Squirrel homophily: 0.22 (test) | Accuracy57.32 | 15 | |
| Node Classification | Squirrel Hnode = 0.22 | Accuracy61.48 | 14 | |
| Node Classification | Squirrel original (test) | Accuracy72.24 | 14 |
Showing 25 of 61 rows