AIDS
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Graph Classification | AIDS | Accuracy99.7 | 48 | |
| Graph Retrieval | AIDS (test) | MAP84.7 | 45 | |
| Graph Edit Distance Approximation | AIDS | RMSE2.82 | 36 | |
| Model Stealing | AIDS | AUC94.19 | 27 | |
| Model Extraction | AIDS | Fidelity91.1 | 24 | |
| Classification | AIDS | AUROC71.8 | 19 | |
| Anomaly Detection | AIDS | AUC99.8 | 19 | |
| Classification | AIDS | Accuracy89.67 | 18 | |
| Graph Edit Distance Approximation | AIDS (test) | RMSE2.92 | 18 | |
| Graph Similarity Search | AIDS (test) | Tau0.8 | 18 | |
| Graph Reconstruction Attack | AIDS | ROC-AUC0.827 | 14 | |
| Graph Edit Distance Prediction | AIDS (test) | RMSE0.796 | 14 | |
| Graph-level Anomaly Detection | AIDS | FPR951.4 | 13 | |
| Graph Retrieval | AIDS 25% (test) | MAP84.7 | 13 | |
| Node Classification | AIDS | Accuracy68.3 | 12 | |
| Structural Edit Distance (SED) | AIDS | Latency (s)0.84 | 12 | |
| Maximum Common Edge Subgraph | AIDS unlabeled | Accuracy94.37 | 9 | |
| Graph data recovery from gradients | AIDS | Node Feature MSE0.0225 | 9 | |
| Edge Reconstruction | AIDS | AUC0.588 | 8 | |
| Classification | AiDS (test) | Mean 0-1 Loss85.23 | 8 | |
| Classification | AiDS (train) | Mean 0-1 Loss86.99 | 8 | |
| Approximate Subgraph Matching | AIDS 10% noise ratio | GED1.67 | 8 | |
| Approximate Subgraph Matching | AIDS 5% noise ratio | GED1 | 8 | |
| Approximate Subgraph Matching | AIDS 0% noise ratio | GED0 | 8 | |
| Graph Ranking (GED) | AIDS | Kendall's Tau0.8 | 8 |
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