| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Node Classification | Amazon Photo | Accuracy96.78 | 191 | |
| Node Classification | Amazon Computers | Accuracy94.09 | 120 | |
| Text Classification | Amazon | Accuracy89.71 | 81 | |
| Node Classification | Amazon Computer (test) | Accuracy94.01 | 76 | |
| Graph Anomaly Detection | Amazon | AUROC94.7 | 65 | |
| Text Classification | Amazon | Accuracy96.45 | 63 | |
| Recommendation | Amazon Sports (test) | Recall@108.25 | 57 | |
| User Churn Prediction | Amazon Rel | ROC-AUC0.704 | 54 | |
| Item Churn Prediction | Rel Amazon | ROC-AUC82.6 | 54 | |
| Multimodal Recommendation | Amazon Baby (test) | Recall@107.11 | 54 | |
| Sequential Recommendation | Amazon-Toys | R@108.12 | 51 | |
| Sequential Recommendation | Amazon Arts (test) | NDCG@1051.91 | 50 | |
| Extreme Multi-label Classification | Amazon-670K | P@153.02 | 41 | |
| Sequential Recommendation | Amazon | Recall@10 (Average)10.38 | 40 | |
| Fraud Detection | Amazon (test) | AUC97.89 | 38 | |
| Sequential Recommendation | Amazon (test) | Recall@10 (Avg)93.7 | 36 | |
| Sequential Recommendation | Amazon Instruments (test) | NDCG@109.97 | 35 | |
| Anomaly detection | Amazon | AUPRC60.46 | 33 | |
| Extreme Multi-label Classification | Amazon-3M | Precision@154.28 | 33 | |
| Link Prediction | Amazon Sports | MRR35.16 | 32 | |
| Graph Anomaly Detection | Amazon (test) | AUROC85.43 | 32 | |
| Anomaly Detection | Amazon | AUC-ROC0.8556 | 31 | |
| Churn Prediction | Amazon | ROC-AUC0.6751 | 30 | |
| Sequential Recommendation | Amazon Sport | R@104.46 | 30 | |
| Multimodal Recommendation | Amazon Clothing (test) | Recall@106.88 | 25 |