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20192026
most citedPDE-GCN: Novel Architectures for Graph Neural Networks Motivated by Partial Differential Equations

18 citations · 69 across the 60 of their papers we have counts for

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math.NA2025

Graph Neural Regularizers for PDE Inverse Problems

William Lauga, James Rowbottom, Alexander Denker +3

We present a framework for solving a broad class of ill-posed inverse problems governed by partial differential equations (PDEs), where the target coefficients of the forward opera…