AI RESEARCH
Graph Navier Stokes Networks
arXiv CS.LG
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ArXi:2605.21247v1 Announce Type: new Graph Neural Networks (GNNs) have emerged as a cornerstone of deep learning, with most existing methods rooted in graph signal processing and diffusion equations to model message passing. However, these approaches inherently suffer from the oversmoothing problem, where node features become indistinguishable as the network depth increases. Inspired by the Navier Stokes equations, we