spectral-temporal-curriculum-molecular-gap-prediction

spectral-temporal-curriculum-molecular-gap-prediction

dexecu

πŸ”¬ Predict molecular HOMO-LUMO gaps using spectral graph neural networks combined with curriculum learning for better accuracy and faster training.

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Python Language
mit License
30 SrcLog Score
Cost to Build
$18.3K
Market Value
$2.2K

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3 data points  Β·  2026-04-10 β†’ 2026-04-25
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What is the dexecu/spectral-temporal-curriculum-molecular-gap-prediction GitHub project? Description: "πŸ”¬ Predict molecular HOMO-LUMO gaps using spectral graph neural networks combined with curriculum learning for better accuracy and faster training.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

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