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William L Hamilton 2017-05-30 18:55:00 +01:00 committed by GitHub
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@ -49,4 +49,6 @@ Note that the full log outputs and stored embeddings can be 5-10Gb in size (on t
#### Using the output of the unsupervised models #### Using the output of the unsupervised models
TODO The unsupervised variants of GraphSAGE will output embeddings to the logging directory as described above.
These embeddings can then be used in downstream machine learning applications.
The `eval_scripts` directory contains examples of feeding the embeddings into simple logistic classifiers.