Web: http://arxiv.org/abs/2206.11140

June 23, 2022, 1:11 a.m. | Fabrizio Frasca, Beatrice Bevilacqua, Michael M. Bronstein, Haggai Maron

cs.LG updates on arXiv.org arxiv.org

Subgraph GNNs are a recent class of expressive Graph Neural Networks (GNNs)
which model graphs as collections of subgraphs. So far, the design space of
possible Subgraph GNN architectures as well as their basic theoretical
properties are still largely unexplored. In this paper, we study the most
prominent form of subgraph methods, which employs node-based subgraph selection
policies such as ego-networks or node marking and deletion. We address two
central questions: (1) What is the upper-bound of the expressive power …

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