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Node2Vec

This directory is an implementation of multilayer Node2Vec algorithm and a normal version of Node2Vec. Moreover, it contains link prediction tests we used to verify the result

Build

Need tensorflow, sklearn, networkx library in python 3

Running the modele

Run the test with the tester.py with a edge list, an output file, and a flag to decide whether to run the second test. Of course there are many variables you can input e.g. number of walks, walk length, probability p for biased sampling etc.

python3 tester.py <--graph Graph file> <--directory directory> <--test>

Input

The input of the python script should be a pickle file in which should be a networkx graph object.

running the multilayer link predictino tests on the input directory where should contain multiple layers of graphs

python3 tester.py --directory data_set/ --NM

Output

The output will be the AUC and the Accuracy and f-measure of the data-set trained by the algorithm.

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