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Unifying approach to uniform expressivity of graph neural networks

The expressive power of Graph Neural Networks (GNNs) is often analysed via correspondence to the Weisfeiler-Leman (WL) algorithm and fragments of first-order logic.

arXiv cs.LG · · Paper: ~15 min
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Unifying approach to uniform expressivity of graph neural networks

TLDR

The expressive power of Graph Neural Networks (GNNs) is often analysed via correspondence to the Weisfeiler-Leman (WL) algorithm and fragments of first-order logic.

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