MSRC
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Graph Classification | msrc-21 (test) | Micro F125.58 | 24 | |
| Maximum Common Connected Subgraph (MCCS) Similarity Estimation | MSRC 20% (test) | MSE0.068 | 18 | |
| Maximum Common Edge Subgraph (MCES) Similarity Estimation | MSRC 20% (test) | MSE0.226 | 18 | |
| Multi-view Classification | MSRC V1 | Accuracy99.52 | 16 | |
| Clustering | MSRC V1 | Accuracy95.05 | 13 | |
| Clustering | MSRC v1 | Running Time0.03 | 12 | |
| Multi-view Classification | MSRC (test) | Balanced Accuracy99.21 | 11 | |
| Graph Classification | MSRC 21 | Accuracy11.01 | 11 | |
| Co-saliency Object Detection | MSRC | Sm0.821 | 11 | |
| Classification | MSRC | Accuracy68.45 | 10 | |
| Co-segmentation | MSRC | Jaccard Index89.6 | 10 | |
| Clustering | MSRC | AMI76.18 | 9 | |
| Graph Similarity Ranking (MCCS) | MSRC MCCS ground truth (20% test) | PairRank0.863 | 9 | |
| Graph Similarity Ranking (MCES) | MSRC 20% MCES ground truth (test) | PairRank0.932 | 9 | |
| Approximate Subgraph Matching | MSRC_21 10% noise ratio | GED8.03 | 8 | |
| Approximate Subgraph Matching | MSRC_21 5% noise ratio | GED3.99 | 8 | |
| Approximate Subgraph Matching | MSRC-21 0% noise ratio | GED0 | 8 | |
| Multiclass segmentation | MSRC 21-class (test) | Accuracy78 | 7 | |
| Counterfactual Explanation | MSRC (test) | Validity100 | 7 | |
| Counterfactual Explanation | MSRC | Validity100 | 7 | |
| Graph classification | MSRC 21C | Accuracy50.85 | 7 | |
| Classification | MSRC v2 (test) | Accuracy50.45 | 7 | |
| graph classification | MSRC-21 | Micro F112.82 | 6 | |
| Skeleton-based Gesture Recognition | MSRC-12 | Accuracy99.01 | 6 | |
| Human Action Recognition | MSRC-12 (leave-one-subject-out) | Accuracy94.6 | 4 |
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