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FATE: Friendship, Action and Temporal Explanations for User Engagement Prediction on Social Apps

Pytorch implementation of our KDD20 submission: "Knowing your FATE: Friendship, Action and Temporal Explanations for User Engagement Prediction on Social Apps"

Requirements

  • Python 3.7 or newer
  • numpy
  • pytorch
  • scipy
  • pytorch_geometric

References

We appreciate IMV-LSTM for its tensor-based LSTM design.

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Implementation of "Knowing your FATE: Friendship, Action and Temporal Explanations for User Engagement Prediction on Social Apps"

Topics

deep-neural-networksengagement-predictionexplainable-mluser-engagementuser-modeling

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