PTC
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Graph Classification | PTC | Accuracy77.64 | 167 | |
| Graph Classification | PTC-MR | Accuracy75.8 | 153 | |
| Graph Classification | PTC (10-fold cross-validation) | Accuracy72.8 | 115 | |
| Graph classification | PTC FM | Accuracy70.53 | 59 | |
| Graph Classification | PTC (test) | Accuracy75.3 | 49 | |
| Graph Classification | PTC | F1 Score67.94 | 44 | |
| Graph Edit Distance Approximation | PTC MR | RMSE2.59 | 27 | |
| Graph classification | PTC MM | Accuracy73.63 | 26 | |
| Graph classification | PTC FR | Accuracy68.9 | 26 | |
| Graph Classification | PTC MR (10-fold cross val) | Accuracy77.89 | 21 | |
| Graph classification | PTC standard | Accuracy66.6 | 16 | |
| Graph similarity ranking | PTC | Kendall's Tau0.992 | 14 | |
| Graph Compression | PTC | Data (BPE)1.57 | 13 | |
| Graph Classification | PTC(MR) (test) | Accuracy68.2 | 12 | |
| Graph Generative Modeling | PTC (test) | Degree Distribution Error0.0001 | 12 | |
| Graph Classification | PTC-MR discrete attributes (full) | Accuracy65.31 | 11 | |
| Graph Generation | PTC | Train Time (s)0.32 | 10 | |
| Graph Classification | PTC standard (test) | Accuracy68.1 | 10 | |
| Graph data recovery from gradients | PTC MR | Node Feature MSE0.0329 | 9 | |
| Graph Compression | Attributed PTC MR TU Dataset (10% test) | Total Result16.32 | 9 | |
| Graph Classification | PTC | Mean Accuracy72.1 | 8 | |
| Graph Classification | PTC | Classification Precision65.43 | 8 | |
| Graph Clustering | PTC-MR | Rand Index0.519 | 6 | |
| Graph Generation | PTC | MMD RBF0.04 | 6 | |
| Graph Classification | PTC MM (10-fold cross val) | Accuracy66.6 | 5 |
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