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Graph Neural Networks for Molecular Discovery with Python is a 326-page resource focused on applying Graph Neural Networks (GNNs) to molecular discovery.
It covers topics such as:
Graph representation of molecules
Geometric deep learning
Molecular property prediction
Molecule generation
Python-based implementations
Applications of GNNs in drug and chemical discovery
Free PDF: https://www.clcoding.com/2026/07/graph-neural-networks-for-molecular.html#google_vignette
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