ENRON
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Link Prediction | Enron (inductive) | AP97.6 | 96 | |
| Transductive dynamic link prediction | Enron | AUC94.16 | 63 | |
| Link Prediction | Enron (transductive) | AP99.1 | 60 | |
| Subgraph Reconstruction Attack | Enron | Precision85.9 | 56 | |
| Dynamic Link Detection | Enron | AP96.31 | 44 | |
| Dynamic Link Prediction | Enron (inductive) | AUC-ROC93.17 | 39 | |
| Language Modeling | Enron Dataset | Perplexity3.4 | 39 | |
| Temporal Link Prediction | Enron (Transductive) | AP97.14 | 33 | |
| Graph Anomaly Detection | Enron | AUC80.82 | 29 | |
| Inductive dynamic link prediction | Enron Inductive | AP93.78 | 27 | |
| Multi-label Classification | enron | Macro-AUC0.7766 | 24 | |
| Inductive dynamic link prediction | Enron | AUC-ROC92.77 | 23 | |
| Temporal Link Prediction | ENRON historical negative sampling (transductive) | Average Precision0.8314 | 22 | |
| Link Prediction | Enron | AP94.87 | 20 | |
| Text Classification | Enron | ACC99.36 | 17 | |
| Knowledge grounding | Enron | Top-1 Accuracy100 | 16 | |
| Node Classification | email-Enron | Accuracy76.76 | 15 | |
| Dynamic Graph Anomaly Detection | Enron (test) | AUROC0.9989 | 14 | |
| Dynamic Graph Anomaly Detection | Enron S3 setting | AUROC99.87 | 14 | |
| PII Extraction (Personal Names) | Enron (train) | Unique PII Count51,810 | 14 | |
| PII Extraction (Phone Numbers) | Enron (train) | Count of Unique Extracted PII4,766 | 14 | |
| PII Extraction (Email Addresses) | Enron (train) | Unique PII Count12,186 | 14 | |
| Dynamic Link Prediction | Enron (transductive) | AUC-ROC0.9813 | 12 | |
| Membership Inference Attack | Enron | AUC0.5904 | 12 | |
| Multi-label Feature Selection | Enron | Macro-F197.28 | 11 |
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