pokec
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Node Classification | pokec (test) | Accuracy86.46 | 78 | |
| Node Classification | Pokec | Accuracy86.33 | 62 | |
| Node classification | pokec 50/25/25 (test) | Accuracy82.04 | 17 | |
| Node Classification | Pokec-n (test) | F1 Score68.86 | 16 | |
| Node Classification | Pokec non-homophilous large-scale (test) | Accuracy0.8283 | 15 | |
| Node Classification | Pokec-n | BACC68.45 | 14 | |
| Link Prediction | Pokec | NF(1) Score43 | 13 | |
| Graph Multiple Sensitive Attribute Inference Attack | Pokec-z | AA82.59 | 10 | |
| Graph Multiple Sensitive Attribute Inference Attack | Pokec-n | AA81.76 | 10 | |
| Node Classification | Pokec-z-R r: 0.05 (test) | Accuracy64.62 | 9 | |
| Node Classification | Pokec-z-G r: 0.05 (test) | Accuracy64.78 | 9 | |
| Node Classification | Pokec-n-R r: 0.05 (test) | Accuracy70.47 | 9 | |
| Node Classification | Pokec-n-G r: 0.05 (test) | Accuracy70.87 | 9 | |
| Graph Multi-Sample Attribute Inference Attack | Pokec-n to Pokec-z transfer | AA73.01 | 9 | |
| Node Classification | Pokec (50%/25%/25%) | Accuracy74.73 | 9 | |
| Working environment prediction | Pokec-n (test) | Accuracy70.1 | 9 | |
| Node Classification | Pokec-z | H(Acc, ΔDP, ΔEO)0.5304 | 8 | |
| Node Classification | pokec official OGB split | Accuracy74.93 | 8 | |
| Node Classification | Pokec-z (test) | Accuracy70.49 | 7 | |
| Node Classification | Pokec-n | Training Time (s)170 | 7 | |
| Node Classification | Pokec-z | Training Time (s)180 | 7 | |
| Node Classification | pokec-regions GraphLand (test) | Accuracy46.17 | 6 | |
| Link Property Inference | Pokec | Accuracy58.8 | 5 | |
| Link property inference | Pokec | ROC-AUC61.6 | 5 | |
| Node property inference | Pokec | ROC AUC0.63 | 5 |
Showing 25 of 28 rows