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Neural Graph Fingerprints

For pacakge installation help, https://github.com/HIPS/neural-fingerprint. Before running the actual code, make sure run python setup.py install first.

The original code for generating fingerprints is in neural-fingerprint/neuralfingerprint/build_convnet.py. On line 96

return sum(all_layer_fps), atom_activations, array_rep

and sum(all_layer_fps) is the fingerprint we are after.

The simplified code is compute_fingerprint_and_conv_baseline.py. Currently, the input file is lxr_nobkg.csv, and if you want to input other files, make sure to change N_train,N_val & N_test correspondingly.

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Convolutional nets which can take molecular graphs of arbitrary size as input.

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