Dynamic Link Prediction On Enron Email
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AP
AUC
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Modellname | AP | AUC | Paper Title | Repository |
|---|---|---|---|---|
| Euler | 94.10 | 93.15 | Euler: Detecting Network Lateral Movement via Scalable Temporal Link Prediction | |
| SI-VGRNN | 93.93 | 94.44 | Variational Graph Recurrent Neural Networks | - |
| teneNCE | 93.65 | 93.54 | Contrastive Representation Learning for Dynamic Link Prediction in Temporal Networks | - |
| DynAERNN | 87.43 | 89.37 | dyngraph2vec: Capturing Network Dynamics using Dynamic Graph Representation Learning | - |
| EGCN-H | 88.29 | 89.33 | EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs | - |
| EGCN-O | 84.28 | 86.55 | EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs | - |
| VGRNN | 93.10 | 93.29 | Variational Graph Recurrent Neural Networks | - |
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