[NeurIPS GLFrontiers 2023] DIGNN, Implicit Graph Neural Diffusion Models
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Updated
Dec 7, 2023 - Python
[NeurIPS GLFrontiers 2023] DIGNN, Implicit Graph Neural Diffusion Models
My master's thesis in the realm of Graph Neural Networks. In this work we propose a novel way to precompute the sheaf Laplacian motivated by the connection that exists between the global section of a sheaf and the minimization of the Dirichlet energy via graph convolution.
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