Closed songzenghui closed 7 years ago
We use scoring.py to produce the result in the DeepWalk paper. In scoring.py: https://github.com/phanein/deepwalk/blob/master/example_graphs/scoring.py#L94 You can see that the underlying model is sklearn.linear_model.LogisticRegression, which by default uses the LibLinear library (see http://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html).
I would like to know how the result of the experiment are produced?Do you use the Liblinear that is mentioned in your paper or use the scoring.py in the deepwalk file? I 'm a newcomer in network representation,and look forward to your reply!