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AUGMENTING MOLECULAR DEEP GENERATIVE MODELS WITH TOPOLOGICAL DATA ANALYSIS REPRESENTATIONS

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DataCite Commons2025-01-03 更新2025-04-16 收录
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https://service.tib.eu/ldmservice/dataset/ec352906-e94a-48b5-8445-fce57eb44ed9
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Deep generative models have emerged as a powerful tool for learning useful molecular representations and designing novel molecules with desired properties, with applications in drug discovery and material design. Here we propose augmentation of deep generative models with topological data analysis (TDA) representations, known as persistence images, for robust encoding of 3D molecular geometry.
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TIB
创建时间:
2025-01-03
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