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GraphSAGE Implementation for Characterizing and Detecting Hateful Users on Twitter

Requirements

pytorch >0.2 is required.

Running examples

  1. Download the dataset from kaggle.

  2. You need to create folders hate and suspended as follows:

    |- hate
    |---- users.edges
    |---- users_all_neighborhood.csv
    |---- users_hate_all.content
    |---- users_hate_glove.content
    |- suspended
    |---- users.edges
    |---- users_all_neighborhood.csv
    |---- users_suspended_all.content
    |---- users_suspended_glove.content
    
  3. Execute python -m graphsage.model to replicate everything.