Computer
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Node Classification | Computer | Accuracy95.67 | 186 | |
| Node Classification | Computer (test) | Accuracy75.3 | 70 | |
| Class Incremental Learning (CIL) | Computer 10-shot (test) | Average Accuracy (AA)85.65 | 19 | |
| Graph Clustering | Computer | NMI0.57 | 19 | |
| kNN classification | Computer (test) | Accuracy92.4 | 12 | |
| Structural Preservation | Computer | Spearman Correlation75.6 | 12 | |
| 2-hop neighbor recall | Computer | Top-10 2-hop Recall25.9 | 12 | |
| Linear classification | Computer (random) | Accuracy89.7 | 12 | |
| Regression | computer | NCIW0.079 | 12 | |
| Node Classification | Computer | Micro-F169.62 | 12 | |
| Graph Class-Incremental Learning | Computer | AA (%)97.7 | 12 | |
| Regression | computer | Interval Score Loss10.978 | 11 | |
| Regression | computer | Quantile Loss0.137 | 11 | |
| Regression | computer | PICP97 | 11 | |
| Node Embedding | Computer | Neighbor Recall64.8 | 10 | |
| Regression | Computer | RMSE2.42 | 10 | |
| Regression | Computer | MAE1.972 | 10 | |
| Attributed Graph Clustering | Computer | NMI62.1 | 9 | |
| Codebook utilization | Computer | Perplexity1 | 8 | |
| Node Classification | Computer Heterophilous nodes | Accuracy (%)72.02 | 8 | |
| Node Classification | Computer Homophilous nodes | Accuracy (%)95.3 | 8 | |
| Node Classification | Computer 80/10/10 random split (test) | Accuracy84.8 | 6 | |
| Regression | Computer | Average Interval Width8.68 | 5 | |
| Conformal Prediction | Computer (test) | Marginal Coverage90.5 | 5 | |
| Quantile Regression | computer | NIW0.087 | 5 |
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