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Papers Benchmarks Datasets Tasks

MUTAGENICITY dataset and benchmarks – Page 2 · SOTA2 Research

Research Datasets

MUTAGENICITY

Benchmarks

Task NameDataset NameSOTA MethodSort

Task NameDataset NameSOTA ResultTrendResults

Functional Group Detection

Mutagenicity

0.8Fidelity-

14

Graph Classification

Mutagenicity Node Shift, M0→M3

62.7Accuracy

13

Graph Classification

Mutagenicity Node Shift, M0→M1

63.8Accuracy

13

Shapley and Interaction Attribution

Mutagenicity n ≤ 20

11.6Amortized Time (s)

10

Graph Classification Model Stealing

Mutagenicity

84AUC

9

Graph Classification

Mutagenicity Fair setup

83.3Accuracy

6

Backdoor Attack on Federated Graph Learning

Mutagenicity

72AAS

5

Adversarial Attack

Mutagenicity

74AAS

5

Graph Backdoor Attack

Mutagenicity

71AAS

5

Attribution Estimation

Mutagenicity n ≤ 20

2Query Budget (O1)

4

GNN Explanation

Mutagenicity (test)

81.36PA

4

Graph Classification

Mutagenicity

72.51Concept Completeness

4

Graph Explanation

Mutagenicity

80.06Coverage (Class 0)

3

Graph Classification Explanation

Mutagenicity (test)

81.71Weighted Precision

3

Graph Classification Explanation

Mutagenicity

81.44Weighted F1

3

Graph Explanation Generation

Mutagenicity

66.67Stability

3

Graph Explanation Fidelity

Mutagenicity (test)

81.36Fidelity Distance (FidD)

3

Model-level counterfactual explanation

Mutagenicity

1.31Validity

3

Attribution Correctness

Mutagenicity small graphs (n <= 20)

99.33O1 Correctness Score

2

Subgraph Attribution

MUTAGENICITY

4.28Computation Time (ms)

2

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