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[TOIS 2024] AdaGIN: Adaptive Graph Interaction Network for Click-Through Rate Prediction

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[TOIS 2024] AdaGIN: Adaptive Graph Interaction Network for Click-Through Rate Prediction

old name: AutoGIM: Autonomous Graph Interaction Machine

Model Overview

image

Requirements

python>=3.6
pytorch>=1.0
fuxictr
PyYAML
pandas
scikit-learn
numpy
h5py
tqdm

Experiment results

image

Datasets

Get the datasets from https://github.com/reczoo/Datasets

Hyperparameter settings and logs

Get the result from https://github.com/salmon1802/AutoGIM/tree/main/AutoGIM/checkpoints

Acknowledgement

This implementation is based on FuxiCTR and BARS. Thanks for their sharing and contribution.
BARS: https://github.com/openbenchmark
FuxiCTR: https://github.com/xue-pai/FuxiCTR

@article{AdaGIN,
  title={AdaGIN: Adaptive Graph Interaction Network for Click-Through Rate Prediction},
  author={Sang, Lei and Li, Honghao and Zhang, Yiwen and Zhang, Yi and Yang, Yun},
  journal={ACM Transactions on Information Systems},
  year={2024},
  publisher={ACM New York, NY}
}

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