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Found 2 papers, 2 papers with code
Ranking Structured Objects with Graph Neural Networks
Graph neural networks (GNNs) have been successfully applied in many structured data domains, with applications ranging from molecular property prediction to the analysis of social networks.
Ranked #1 on
Graph Ranking
on ZINC
A Novel Higher-order Weisfeiler-Lehman Graph Convolution
Current GNN architectures use a vertex neighborhood aggregation scheme, which limits their discriminative power to that of the 1-dimensional Weisfeiler-Lehman (WL) graph isomorphism test.
Ranked #6 on
Graph Classification
on REDDIT-B
