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Papers Benchmarks Datasets Tasks

DBLP dataset and benchmarks – Page 6 · SOTA2 Research

Research Datasets

DBLP

Benchmarks

Task NameDataset NameSOTA MethodSort

Task NameDataset NameSOTA ResultTrendResults

Multi-label classification

DBLP Author Citation (60% train)

66.25Micro-F1

4

Multi-label classification

DBLP Author Citation (50% train)

66.19Micro-F1

4

Multi-label classification

DBLP Author Citation (30% train)

65.85Micro-F1

4

Multi-label classification

DBLP Author Citation (10% train)

64.69Micro-F1

4

Graph Alignment

Dblp

8.51Training Time (s/epoch)

3

Wall-Clock Runtime

DBLP

7.5Wall-Clock Runtime (s)

3

Graph Explainability

DBLP

85AUC (Edge)

3

Temporal explainability

DBLP

59F1

3

Node Clustering

DBLP

0.022ARI

3

Node Classification

DBLP

3Avg Model Evaluations

3

Node Classification

DBLP

60.69PM

3

Knowledge Graph Question Answering

DBLP

78Precision

3

Multi-label classification

DBLP PAPERCITATION 90%

62.8Micro-F1

3

Multi-label classification

DBLP Papercitation 80%

62.25Micro-F1

3

Multi-label classification

DBLP PAPERCITATION 70%

62.21Micro-F1

3

Multi-label classification

DBLP PAPERCITATION 60%

62.1Micro-F1

3

Multi-label classification

DBLP PAPERCITATION 50%

61.85Micro-F1

3

Multi-label classification

DBLP PAPERCITATION 30%

61.46Micro-F1

3

Multi-label classification

DBLP PaperCitation (10% train)

60.1Micro-F1

3

Node-Level Task

DBLP

0.002Inference Time (s)

3

Node Classification

DBLP (inference)

0.42Total Energy (Wh)

2

Node Classification

DBLP 5-way 3-shot (test)

83.64Accuracy

2

Journal Recommendation

DBLP CS

36Top-3 Accuracy

1

Node classification

DBLP standard (test)

0.072P-Value

1

Node Classification

DBLP 20% pair noise (test)

0.072P-Value

1

Page 6 of 7

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