wikiCS
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Node Classification | WikiCS | Accuracy84.61 | 329 | |
| Node Classification | WikiCS | Accuracy83.58 | 55 | |
| Graph Class-Incremental Learning | WikiCS | AA0.9336 | 45 | |
| Node classification | WikiCS | F1 Score72.78 | 40 | |
| Node Classification | WikiCS (test) | Average Accuracy80.7 | 35 | |
| Node Classification | WikiCS | Accuracy85.35 | 27 | |
| Node Classification | WikiCS OOD (test) | F1 Score56.99 | 20 | |
| Node Classification | WikiCS (evaluation nodes) | Accuracy0.7826 | 18 | |
| Node Classification | WikiCS | ID Accuracy86.66 | 14 | |
| Community Detection | Wikics | Topsis Score0.9819 | 13 | |
| OOD detection | WikiCS | FPR@958.32 | 13 | |
| Link prediction | WikiCS | AUC95.56 | 13 | |
| Node Clustering | WikiCS | C Score51.97 | 12 | |
| Node Classification | WikiCS 1-shot (test) | Accuracy45.37 | 11 | |
| Node classification | WikiCS γ=5 (OOD) | F1 Score (%)59.04 | 10 | |
| Node Classification | WikiCS Regular setting | F1 Score72.96 | 10 | |
| Node Classification | WikiCS GLBench (supervised) | Accuracy77.72 | 10 | |
| Node Classification | WikiCS LLM-embedded (test) | Accuracy0.7983 | 10 | |
| Node Classification | WikiCS 3 OOD classes | ID Accuracy81.75 | 10 | |
| Node Classification | WikiCS (random 10/10/80) | Micro-F10.812 | 10 | |
| Codebook utilization | WikiCS | Perplexity3.1 | 8 | |
| Node Classification | WikiCS | Accuracy79.27 | 8 | |
| Node Classification | WikiCS imbalanced, ratio 100:1 (test) | Accuracy72.2 | 7 | |
| Transductive Node Classification | wikiCS | Accuracy81.87 | 7 | |
| Node classification | WikiCS concept_degree (test) | Accuracy79.96 | 6 |
Showing 25 of 38 rows