Graph Classification On Mutagenicity

Accuracy

Results

Performance results of various models on this benchmark

		Paper Title
TREE-G	83	TREE-G: Decision Trees Contesting Graph Neural Networks
HGP-SL	82.15	Hierarchical Graph Pooling with Structure Learning
S-CGIB	81.12±0.90	Pre-training Graph Neural Networks on Molecules by Using Subgraph-Conditioned Graph Information Bottleneck
MEWISPool	80.66	Maximum Entropy Weighted Independent Set Pooling for Graph Neural Networks
NDP	78.1	Hierarchical Representation Learning in Graph Neural Networks with Node Decimation Pooling

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