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Papers Benchmarks Datasets Tasks

Squirrel dataset and benchmarks – Page 3 · SOTA2 Research

Research Datasets

Squirrel

Benchmarks

Task NameDataset NameSOTA MethodSort

Task NameDataset NameSOTA ResultTrendResults

Node Classification

Squirrel

42Accuracy (Clean)

6

Node-level regression

Squirrel (test)

0.069Normalized Test MSE

6

Squirrel

75.02AUROC

5

Node Unlearning

Squirrel Hard to Unlearn

70.1ToU

4

Node Unlearning

Squirrel Random

69.2ToU

4

Node Unlearning

Squirrel Easy to Unlearn

81.4ToU

4

Graph Clustering

Squirrel

41.36Accuracy

4

Inductive node classification

Squirrel unobserved (test)

27.29Accuracy

4

Inductive node classification

Squirrel observed (test)

33.59Mean Accuracy

4

Node-Level Task

Squirrel

0.001Inference Time (sec)

3

Node Classification

Squirrel (train)

38Macro F1

1

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Popular tasks

Node Classification Node unlearning node-level task Node Regression Inductive Node Classification

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