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Manu-Fraile/Network-Representation-Learning

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This group project was part of the course DD2434 at KTH in Autumn 2021 and received the maximum possbile grade, an A.

Organisation

This project folder is structured as follows:

  • Running 'download_datasets.sh' creates a 'data' directory and puts all the datasets in there.
  • The folder LoadGraphs contains a shell script to load all the graphs into networkx format and store them using pickle.
  • Every algorithm has its own dedicated directory where the code for that algorithm is located along with a shell script to execute the code.
  • The embeddings should be stored in an additional 'embeddings'-directory.
  • The evaluation on NC and LP are provided in the respective directories along with shell scripts that run all the evaluations and print the scores to the standard output.

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