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Indu Kant Deo

affiliation not provided to SSRN

SCHOLARLY PAPERS

1

DOWNLOADS

117

TOTAL CITATIONS

7

Scholarly Papers (1)

1.

A Finite Element-Inspired Hypergraph Neural Network: Application to Fluid Dynamics Simulations

Number of pages: 33 Posted: 29 May 2023
Rui Gao, Indu Kant Deo and Rajeev Kumar Jaiman
affiliation not provided to SSRN, affiliation not provided to SSRN and University of British Columbia (UBC)
Downloads 117 (613,149)
Citation 7

Abstract:

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Graph neural network, hypergraph, finite element, rotation equivariance, fluid dynamics