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Tolokers

Benchmarks

Task NameDataset NameSOTA ResultTrend
Node Classificationtolokers
ROC AUC85.91
47
Node ClassificationTolokers overlapping subgraph partitioning
AUC74.54
39
Node classificationTolokers (test)
AUROC85.91
28
Node ClassificationTolokers v1 (test)
AUC85.91
26
Node ClassificationTolokers original (standard)
ROC AUC82.88
20
Graph Anomaly DetectionTolokers
AUPRC40.5
19
Binary Classificationtolokers 2 (RL (Random Low))
AP61.58
19
Node ClassificationTolokers non-overlapping subgraph partitioning (5 Clients)
AUC75.82
13
Edge-level Anomaly DetectionTolokers
F1-macro66.2
13
Node-level Anomaly DetectionTolokers
F1 Macro68.15
13
Edge-level Anomaly DetectionTolokers
AUROC0.7698
12
Node-level Anomaly DetectionTolokers
AUROC80.62
12
Graph Anomaly DetectionTolokers 40% supervision (train)
F1 Macro68.84
10
Graph Anomaly DetectionTolokers 1% supervision (train)
F1-macro62.14
10
Node ClassificationTolokers heterophilic graphs (test)
Accuracy85.91
9
Node-level classificationTOLOKERS
MCC0.427
8
Anomaly DetectionTolokers
AUROC59.53
4
Node ClassificationTolokers heterophilic (test)
AUC0.8577
4
Edge-to-Node TransferTolokers
F1-macro65.57
4
Node-to-Edge TransferTolokers
F1-macro65.46
4
Edge-to-Node Zero-shot Anomaly DetectionTolokers
AUPRC46.36
4
Node-to-Edge Zero-shot Anomaly DetectionTolokers
AUPRC (Zero-shot)0.5426
4
Graph Anomaly DetectionTolokers E → N v1
AUROC0.7849
4
Graph Anomaly DetectionTolokers N → E v1
AUROC74.04
4
Edge Anomaly DetectionTolokers
AUPRC56.89
3
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