Toys
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Node Classification | Toys | Accuracy84.14 | 77 | |
| Sequential Recommendation | Toys | Recall@56.01 | 42 | |
| Sequential Recommendation | Toys (test) | NDCG@105.55 | 36 | |
| Sequential Recommendation | Toys | HR@1011.47 | 35 | |
| Denoising | Toys 256 x 256 x 31 MSI (test) | PSNR37.34 | 35 | |
| Tensor Completion | Toys 256 x 256 x 31 | PSNR48.67 | 35 | |
| Node Clustering | Toys | NMI54.66 | 30 | |
| Modality Retrieval | Toys | R@579.4 | 29 | |
| Sequential Recommendation | Toys (Overall) | Hit Rate @108.46 | 24 | |
| Generative Recommendation | Toys | Recall@100.0846 | 23 | |
| Recommendation | Toys | Hit Ratio@100.1101 | 21 | |
| Sequential Recommendation | Toys | Recall@108.02 | 20 | |
| 3D Asset Reconstruction | Toys4k | CD0.0083 | 18 | |
| Node Classification | Toys (Miss) | Accuracy70.28 | 15 | |
| Recommendation | Toys | Hit Rate @ 10 (HR@10)7.9 | 15 | |
| Sequential Recommendation | Toys 5-core filtered (test) | Recall@59.22 | 13 | |
| Node Classification | Toys MAGB | Accuracy80.92 | 13 | |
| Sequential Recommendation | Toys | HR@2012.1264 | 12 | |
| Warm-item recommendation | Toys (warm-item) | Ranking@106.12 | 11 | |
| Recommendation | Toys | Recall@53.63 | 11 | |
| Image-to-3D | Toys4K | CLIP Similarity89.34 | 11 | |
| Generative Recommendation | Toys | Ad Rate94.3 | 11 | |
| Sequential Recommendation | Toys | HR@57.83 | 11 | |
| Sequential Recommendation | Toys | HR@55.6 | 10 | |
| Sequential Recommendation | Toys | Recall@120.06 | 10 |
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