Graph neural networks learn emergent tissue properties from spatial molecular profiles
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Researchers have found that graph neural networks can learn emergent tissue properties. This learning is based on spatial molecular profiles, indicating a connection between the neural networks and molecular data. The discovery suggests that graph neural networks can extract complex tissue properties from molecular information.