Graph convolutional networks applied to unstructured flow field data
Many scientific and engineering processes produce spatially unstructured data. However,
most data-driven models require a feature matrix that enforces both a set number and order …
most data-driven models require a feature matrix that enforces both a set number and order …
Graph convolutional networks applied to unstructured flow field data
F Ogoke, K Meidani, A Hashemi… - … Learning: Science and …, 2021 - search.proquest.com
Many scientific and engineering processes produce spatially unstructured data. However,
most data-driven models require a feature matrix that enforces both a set number and order …
most data-driven models require a feature matrix that enforces both a set number and order …
Graph convolutional networks applied to unstructured flow field data
F Ogoke, K Meidani, A Hashemi, AB Farimani - Machine Learning: Science …, 2021 - osti.gov
Many scientific and engineering processes produce spatially unstructured data. However,
most data-driven models require a feature matrix that enforces both a set number and order …
most data-driven models require a feature matrix that enforces both a set number and order …