Thoughts and Theory, Rethinking GNNs
Graph Neural Networks as Neural Diffusion PDEs
Graph neural networks (GNNs) are intimately related to differential equations governing information diffusion on graphs. Thinking of GNNs as partial differential equations (PDEs) leads to a new broad class of GNNs that are able to address in a principled way some of the prominent issues of current Graph…
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14 min readJun 18, 2021
