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Codes of paper "Category-aware Self-supervised Graph Neural Network for Session-based Recommendation"

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CSGNN

Codes of paper "Category-aware Self-supervised Graph Neural Network for Session-based Recommendation"

Requirements

  • Python 3
  • PyTorch 1.6.0

you can create a new environment by conda

conda install --yes --file requirements.txt

Usage

datasets

  1. directory /datasets/id/ is the dataset of CSGNN model
  2. directory /datasets/pre_training/ is the embeddings of pre-training
  3. directories /datasets/filter* are the datasets of ablation experiments

Train and evaluate

python main.py --dataset nowplaying --beta 0.005 --embSize 100 > result.output 

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Codes of paper "Category-aware Self-supervised Graph Neural Network for Session-based Recommendation"

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