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Inductive Node Classification research benchmarks · SOTA2 Research

Inductive Node Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

99.56Micro F1 Score

19

Feb 26, 2026

51.97Accuracy

14

Feb 26, 2026

PPI (inductive)

99.82Accuracy

14

Feb 26, 2026

99.53micro-F1

12

Mar 18, 2026

72.63micro-F1

9

Mar 18, 2026

77.08Accuracy

7

Feb 26, 2026

97.7Micro-F1

4

Mar 18, 2026

Cornell unobserved (test)

43.97Mean Accuracy

4

Feb 26, 2026

Texas unobserved (test)

47.35Accuracy

4

Feb 26, 2026

Squirrel unobserved (test)

27.29Accuracy

4

Feb 26, 2026

Actor unobserved (test)

32.04Mean Accuracy

4

Feb 26, 2026

Chameleon unobserved (test)

32.89Mean Accuracy

4

Feb 26, 2026

Photo unobserved (test)

0.894Mean Accuracy

4

Feb 26, 2026

Computers unobserved (test)

82.85Mean Accuracy

4

Feb 26, 2026

Citeseer unobserved (test)

63.53Mean Accuracy

4

Feb 26, 2026

Cornell Observed (test)

47.97Mean Accuracy

4

Feb 26, 2026

Texas observed (test)

54.51Mean Accuracy

4

Feb 26, 2026

Squirrel observed (test)

33.59Mean Accuracy

4

Feb 26, 2026

Actor observed (test)

32.8Mean Accuracy

4

Feb 26, 2026

Chameleon observed (test)

42.23Mean Accuracy

4

Feb 26, 2026

Popular datasets

PPI Chameleon Squirrel Actor Texas

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