Expressiveness hierarchy conjecture for Local k-FGNN

For an integer k2k\ge 2, let Local kk-FGNN, Local kk-GNN, and kk-FGNN denote the corresponding higher-order graph neural network architectures, ordered by their ability to distinguish graphs. Local kk-FGNN expressiveness conjecture. For all k2k\ge 2, Local kk-FGNN is strictly more expressive than Local kk-GNN and strictly less expressive than kk-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 kk-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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