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Papers Benchmarks Datasets Tasks

Computers dataset and benchmarks – Page 3 · SOTA2 Research

Research Datasets

Computers

Benchmarks

Task NameDataset NameSOTA MethodSort

Task NameDataset NameSOTA ResultTrendResults

Global Counterfactual Summary for Time-Series Clustering

Computers UCR Archive

42.1Effectiveness Score

6

Node Classification

Computers

36Avg Model Evaluations

6

Node Clustering

Computers

56.26NMI

5

Entity Matching

computers

49.5F1 Score

5

Time Series Classification

Computers UCR archive

83.3Accuracy

5

Local Counterfactual Generation

Computers UCR

100Effectiveness

5

Node Feature Imputation

Computers (test)

7.545Training time (s)

5

Node Unlearning

Computers Hard to Unlearn

96.2ToU

4

Node Unlearning

Computers Random

98.5ToU

4

Node Unlearning

Computers Easy to Unlearn

98.8ToU

4

Node Classification

Computers Semi-supervised (test)

86.37bAcc

4

Node Classification

Computers

95Coverage

4

Inductive node classification

Computers unobserved (test)

82.85Mean Accuracy

4

2-class segmentation

Computers

99.617Precision

3

Time Series Chain Discovery

Computers

13Hit Rate

3

Node Classification

Computers (60%/20%/20%)

91.47Mean Test Accuracy

3

Text encoder pre-training

Computers

28Pre-training Time

2

Node Classification

Computers Inductive learning

92.53Accuracy

2

Graph Embedding

computers

58Speedup

1

Link Prediction

Computers

12.35Delta GNN

1

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Popular tasks

Node Classification Link Prediction Graph Anomaly Detection Node unlearning Classification

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