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ECHO-Energy

Emerging
1papers using it
2025first seen

ECHO-Energy is a real-world dataset within the ECHO benchmark that is used to evaluate graph neural networks' ability to predict molecular total energies, relying on reference computations obtained at the density functional theory (DFT) level.

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Papers using ECHO-Energy (1)

ECHO-Energy — datasets — graph-learning