Operator Learning

Deep operator network (DeepONet)

| Artificial Intelligence |

Deep operator network (DeepONet) is a machine learning framework designed to learn nonlinear operators mapping between infinite-dimensional function spaces. It extends deep learning approaches to functional inputs and outputs, enabling efficient approximation of complex operators arising in scientific computing and engineering.

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Graph neural operator

| Artificial Intelligence |

Graph neural operators are computational frameworks that extend graph neural networks to learn operators mapping between function spaces defined on graphs. They are used to model complex systems and solve partial differential equations on irregular domains by learning mappings that generalize across different graph structures.

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