SOTAVerified

Isomorphism Testing

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

Papers

Showing 1–10 of 14 papers

TitleStatusHype
Logical Expressiveness of Graph Neural Networks with Hierarchical Node IndividualizationCode0
Covered Forest: Fine-grained generalization analysis of graph neural networksCode0
Transitivity-Preserving Graph Representation Learning for Bridging Local Connectivity and Role-based SimilarityCode1
PlanE: Representation Learning over Planar GraphsCode1
A Practical, Progressively-Expressive GNNCode1
Gradual Weisfeiler-Leman: Slow and Steady Wins the RaceCode0
Local Graph Embeddings Based on Neighbors Degree Frequency of Nodes—0
Weisfeiler-Lehman meets Gromov-Wasserstein—0
Weisfeiler and Leman Go Infinite: Spectral and Combinatorial Pre-ColoringsCode0
Graph Deformer Network—0
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