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Graph Classification research benchmarks – Page 24 · SOTA2 Research

Graph Classification

Benchmarks

Dataset NameSOTA MethodSort

Dataset NameSOTA methodMetricTrendResultsLast Updated

k-subtree SAT-GCN

70.72Accuracy

8

Feb 26, 2026

RDT-B TUDataset

0.909Accuracy

8

Feb 26, 2026

IMDB-MULTI social network (10-fold cross-validation)

52.3Accuracy

8

Feb 26, 2026

RDT-M5K TU (test)

54.93Accuracy

8

Feb 26, 2026

RDT-B TU (test)

86.79Accuracy

8

Feb 26, 2026

ogbg-molhiv 1.1 (test)

80.94ROC-AUC

8

Feb 26, 2026

DD standard (test)

82Accuracy

8

Feb 26, 2026

5Running Time (s)

8

Feb 26, 2026

68.34Precision

8

Feb 26, 2026

75.1Classification Precision

8

Feb 26, 2026

65.43Classification Precision

8

Feb 26, 2026

89.6Accuracy

7

Mar 13, 2026

0.666ROC AUC

7

Feb 26, 2026

50.85Accuracy

7

Feb 26, 2026

Peptides-Functional

73.6AP

7

Feb 26, 2026

Erdös-Rényi 85/15 stratified Synthetic

82.26Accuracy

7

Feb 26, 2026

SBM 85/15 stratified Synthetic (train test)

92.26Accuracy

7

Feb 26, 2026

PROTEINS biology chemistry (85/15 stratified train test)

76.76Accuracy

7

Feb 26, 2026

MUTAG biology chemistry (85-15 stratified train test)

87.58Accuracy

7

Feb 26, 2026

COLLAB (85/15 stratified train-test)

69.87Accuracy

7

Feb 26, 2026

IMDB Binary 85/15 stratified (train-test)

69.93Accuracy

7

Feb 26, 2026

REDDIT Binary (85/15 stratified train-test split)

78.45Accuracy

7

Feb 26, 2026

ENZYMES Standard

61.3Accuracy

7

Feb 26, 2026

PROTEINS Standard

74.4Accuracy

7

Feb 26, 2026

78.2Accuracy

7

Feb 26, 2026

Page 24 of 30

Popular datasets

DD IMDB PROTEINS FRANKENSTEIN NCI1

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