MR
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Sentiment Classification | MR | Accuracy90.8 | 148 | |
| Sentiment Analysis | MR | Accuracy0.939 | 142 | |
| Sentiment Classification | MR (test) | Accuracy90.8 | 142 | |
| Text Classification | MR (test) | Accuracy91.27 | 99 | |
| Text Classification | MR | Accuracy93.3 | 93 | |
| Sentiment Classification | MR | Accuracy72.96 | 24 | |
| Sentiment Analysis | MR | Spearman's rho0.8882 | 23 | |
| Text Processing | MR | Latency (ms)2 | 20 | |
| Backdoor Defense | MR | AUC0.99 | 20 | |
| Text Classification | MR | CA89.85 | 20 | |
| Maximum Common Connected Subgraph (MCCS) Similarity Estimation | MR 20% (test) | MSE0.131 | 18 | |
| Maximum Common Edge Subgraph (MCES) Similarity Estimation | MR 20% (test) | MSE0.154 | 18 | |
| Graph Retrieval | MR (test) | MAP90.2 | 17 | |
| Sentiment Analysis | MR few-shot zero-shot | Accuracy88 | 16 | |
| Graph Retrieval | MR 25% (test) | MRR1 | 15 | |
| Sentiment Classification | MR (10-fold cross-validation) | Accuracy83.1 | 13 | |
| Graph Retrieval | MR 25% split (test) | MAP90.2 | 13 | |
| Sentiment Analysis | MR | Avg Accuracy89.6 | 11 | |
| Text Classification | MR small-scale (test) | Accuracy86.5 | 10 | |
| Graph Similarity Ranking (MCCS) | MR 20% MCCS ground truth (test) | PairRank0.925 | 9 | |
| Graph Similarity Ranking (MCES) | MR MCES ground truth (test) | PairRank0.937 | 9 | |
| Sentence Classification | MR full (test) | Accuracy92.5 | 9 | |
| Sentiment Analysis | MR | Clean Accuracy Change1.3 | 6 | |
| Sentiment Analysis | MR adversarial (test) | Accuracy82.1 | 6 | |
| Sentence Classification | MR (Movie Review) (10-fold cross-validation) | Accuracy79.5 | 4 |
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