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Implementation of "Unbiased and Robust: External Attention-enhanced Graph Contrastive Learning for Cross-domain Sequential Recommendation (ICDMW2023)"

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EA-GCL

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The code is attached to our paper: "Unbiased and Robust: External Attention-enhanced Graph Contrastive Learning for Cross-domain Sequential Recommendation" (ICDMW 2023). If you want to use our codes or datasets in your research, please cite our paper.
Our paper is now available on IEEE Xplore, please visit: https://ieeexplore.ieee.org/document/10411670.

Code description

Vesion of implements and tools

  1. python 3.6
  2. tensorflow 1.12.0
  3. scipy 1.5.3
  4. numpy 1.16.0
  5. pandas 0.22.0
  6. matplotlib 3.3.4
  7. Keras 1.0.7
  8. tqdm 4.60.0

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Implementation of "Unbiased and Robust: External Attention-enhanced Graph Contrastive Learning for Cross-domain Sequential Recommendation (ICDMW2023)"

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