most citedTask complexity shapes internal representations and robustness in neural networks

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cs.LG2026

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

Robert Jankowski, Pedro Almagro-Blanco, Marián Boguñá +2

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 fo…

cs.LG2025★ 1 cited

Task complexity shapes internal representations and robustness in neural networks

Robert Jankowski, Filippo Radicchi, M. Ángeles Serrano +2

Neural networks excel across a wide range of tasks, yet remain black boxes. In particular, how their internal representations are shaped by the complexity of the input data and the…