Expressiveness hierarchy conjecture for Local k-FGNN
Expressiveness hierarchy conjecture for Local k-FGNN
For an integer , let Local -FGNN, Local -GNN, and -FGNN denote the corresponding higher-order graph neural network architectures, ordered by their ability to distinguish graphs. Local -FGNN expressiveness conjecture. For all , Local -FGNN is strictly more expressive than Local -GNN and strictly less expressive than -FGNN. Establishing this would complete the paper's expressiveness hierarchy for the higher-order local architectures and provide a simple characterization of the currently unresolved Local -FGNN case. A similar open question was raised informally by Zhang et al. (2023).
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Primary source
Bohang Zhang, Jingchu Gai, Yiheng Du, Qiwei Ye, Di He and Liwei Wang, “Beyond Weisfeiler-Lehman: A Quantitative Framework for GNN Expressiveness”, arXiv:2401.08514 (2024).
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