Products
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Node Classification | Products | Accuracy89.31 | 85 | |
| Link Prediction | Products | Accuracy97.38 | 29 | |
| GNN training | PRODUCTS | Speedup2.077 | 24 | |
| Node Classification | Products | Accuracy74.6 | 18 | |
| Graph Continual Learning | Products (test) | AA95.3 | 16 | |
| Node Classification | Products | Clean Accuracy90.22 | 15 | |
| Link Prediction | Products | AUPRC0.948 | 14 | |
| Node Classification | Products | Accuracy77.67 | 13 | |
| Graph Class-Incremental Learning | Products | AA94 | 12 | |
| Node Classification | Products OOD 2 | Accuracy81.44 | 8 | |
| Node Classification | Products OOD1 | Accuracy84.16 | 8 | |
| Image Classification | Products | Accuracy90.7 | 6 | |
| Graph Task | Products (test) | Performance (%)51.3 | 4 | |
| Graph Coarsening | Products subset | Memory Usage (MB)240.62 | 4 | |
| Node Classification | Products (test) | Coverage90 | 4 | |
| Node Classification | Products | Coverage95.1 | 4 | |
| Node Classification | Products | Overall F129.36 | 3 | |
| Graph Coarsening | Products | Running Memory (MB)35,348.38 | 1 | |
| Node Classification | Products OGB benchmark | Accuracy Δ1.53 | 1 | |
| Image Classification | Products (test) | Accuracy- | 0 |
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