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Papers Benchmarks Datasets Tasks

EAT dataset and benchmarks · SOTA2 Research

Research Datasets

EAT

Benchmarks

Task NameDataset NameSOTA MethodSort

Task NameDataset NameSOTA ResultTrendResults

Node Classification

EAT 20% (train val)

0.368Accuracy

8

Node Classification

EAT 5% (train/val)

37.2Accuracy

8

Polymer property prediction

Eat (test)

0.048RMSE

7

Node Classification

EAT 10% (train val)

38Accuracy

4

Node Clustering

EAT

0.044ARI

3

Popular tasks

Node Classification Node Clustering Polymer property prediction

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