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Papers Benchmarks Datasets Tasks

pokec dataset and benchmarks – Page 2 · SOTA2 Research

Research Datasets

pokec

Benchmarks

Task NameDataset NameSOTA MethodSort

Task NameDataset NameSOTA ResultTrendResults

Multi-label classification

Pokec z

67.43Accuracy

6

Multi-label classification

Pokec_n

66.75Accuracy

6

Node Classification

pokec-regions GraphLand (test)

46.17Accuracy

6

SpMM with GCN operator

Pokec Regions

1.99Latency Speedup (Forward)

5

Link Property Inference

Pokec

58.8Accuracy

5

Link property inference

Pokec

61.6ROC-AUC

5

Node property inference

Pokec

0.63ROC AUC

5

Fair Clustering

Pokec-n (labeled)

0.005ARI

3

POKEC

388.5Learning Time (s)

3

Fair Graph Generation

Pokec z

181.7FLOPs

3

Fair Graph Generation

Pokec-n

12FLOPs

3

Reduction-based convolutions

pokec-regions

2.59Latency Speedup (Forward Pass)

2

Graph Transformer Efficiency Benchmarking

pokec-regions

1.5Forward Pass Latency Speedup

2

Multiclass classification

POKEC-REGIONS RL

41.25Accuracy

2

Efficiency evaluation of GATv2

pokec regions

6.68Latency Speedup (Forward)

1

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Popular tasks

Node Classification Multi-Label Classification Link property inference Graph Multiple Sensitive Attribute Inference Attack Fair Graph Generation

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