Finsler Geometry, Graph Neural Networks, and You

In three linesResearchers propose graph neural networks based on Finsler geometry to overcome limitations of graph Laplacian-based architectures (isotropic operators). They prove discrete convergence to the true operator on manifolds and express this operator as a GNN layer, validating recovery of nonlinear geometries.

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