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Isomorphism Testing

To test the power of graph representation learning methods based on Isomorphism Testing

Papers

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Showing 1–14 of 14 papers

TitleStatusHype
Can Graph Neural Networks Count Substructures?Code1
PlanE: Representation Learning over Planar GraphsCode1
A Practical, Progressively-Expressive GNNCode1
Transitivity-Preserving Graph Representation Learning for Bridging Local Connectivity and Role-based SimilarityCode1
Logical Expressiveness of Graph Neural Networks with Hierarchical Node IndividualizationCode0
Covered Forest: Fine-grained generalization analysis of graph neural networksCode0
Gradual Weisfeiler-Leman: Slow and Steady Wins the RaceCode0
On Graph Neural Networks versus Graph-Augmented MLPsCode0
On the equivalence between graph isomorphism testing and function approximation with GNNsCode0
Weisfeiler and Leman Go Infinite: Spectral and Combinatorial Pre-ColoringsCode0
Graph Deformer Network—0
Local Graph Embeddings Based on Neighbors Degree Frequency of Nodes—0
Dimension Reduction via Colour Refinement—0
Weisfeiler-Lehman meets Gromov-Wasserstein—0
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