ENTITY Graph Neural Differential Equations

Graph Neural Differential Equations

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RESEARCH · CL_111258 · Jun 25 · 06:53

New theory enables zero-shot size transfer for graph neural networks

Researchers have developed a theoretical framework for zero-shot size transfer in Graph Neural Differential Equations (GNDEs) on sparse random graphs. This principle allows GNDEs trained on smaller graphs to be deployed…

New theory enables zero-shot size transfer for graph neural networks