arXiv Machine Learning July 31, 2026 By Robert Jankowski, Pedro Almagro-Blanco, Mari\'an Bogu\~n\'a, Melanie Weber, M. \'Angeles Serrano

Train Small, Deploy Large: Zero-Shot GNN Transfer Through Geometric Renormalization

Read the original on arXiv Machine Learning →

arXiv:2607. 27767v1 Announce Type: new Abstract: Graph neural networks (GNNs) can operate on large graphs but become infrastructure-sensitive at the scale of millions of nodes and typically require scalable training techniques for even larger graphs.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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