Author

Tal Weissblat

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Preprint Jul 2026

From Finite Cayley Graphs to Growth of Infinite Groups

Graph neural networks (GNNs) have recently been shown to learn algebraic properties of finite groups from their Cayley graphs [1,2]. In this work, we investigate whether such models generalize to infinite finitely generated groups. Motivated by Gromov's theorem [3], a GNN is trained and validated exclusively on finite...

Tal Weissblat · 1 citation