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Graph neural networks for molecular machine learning. Implemented and compatible with TensorFlow and Keras.

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The documentation proposed to either save models using `tf.saved_model` or `tf.keras`. The first approach works, but saves a model that cannot be trained further (to my understanding). The second approach...

Is it possible to do node level learning with `molgraph`?

Following the notebook file, I tried to construct a DMPNN model for tox21. Training for some reason takes way longer than the pytorch implementation onn chemprop. So I tried to...