AutoTransfer: AutoML with Knowledge Transfer - An Application to Graph Neural Networks

Kaidi Cao, Jiaxuan You, Jiaju Liu, Jure Leskovec

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This is the implementation of AutoTransfer in the paper AutoTransfer: AutoML with Knowledge Transfer - An Application to Graph Neural Networks in PyTorch.

Dependency

The codebase is developed based on GraphGym. Installing the environment follwoing its instructions.

Dataset

• Please download Task-Model Bank from the following link.

Training

We provide several training examples with this repo. First to transfer, run

python transfer_gen_config.py --novel_config example.yaml

nnictl create --config config/automl/config_example.yaml

Reference

If you find our paper and repo useful, please cite as

@inproceedings{cao2022autotransfer,
  title={AutoTransfer: AutoML with Knowledge Transfer-An Application to Graph Neural Networks},
  author={Cao, Kaidi and You, Jiaxuan and Liu, Jiaju and Leskovec, Jure},
  booktitle={The Eleventh International Conference on Learning Representations},
  year={2023}
}