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The source code of "Dual-level Mixup for Graph Few-shot Learning with Fewer Tasks"

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SMILE

The source code of "Dual-level Mixup for Graph Few-shot Learning with Fewer Tasks"

Here we provide three datasets for reproducibility, including Amazon-Clothing, CoraFull, and DBLP, with two datasets in the zip file and the other available for automatic download.

Usage

You can run the following the command.

cd SMILE
unzip few_shot_data

For in-domain setting

python train.py --dataset Amazon_clothing --way 5 --shot 5 --num_tasks 5

You can change the --dataset to corafull or dblp to train other datasets.

For cross-domain setting

python train_cross_domain.py --dataset Amazon_clothing --dataset_cr corafull

You can change the --dataset to corafull and the --dataset_cr to Amazon_clothing to switch the cross-domain setting.

Cite

If you find our work can help your research, please cite our work!

@inproceedings{liu2025dual,
  title={Dual-level Mixup for Graph Few-shot Learning with Fewer Tasks},
  author={Liu, Yonghao and Li, Mengyu and Giunchiglia, Fausto and Huang, Lan and Li, Ximing and Feng, Xiaoyue and Guan, Renchu},
  booktitle={The Web Conference},
  year={2025}
}

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The source code of "Dual-level Mixup for Graph Few-shot Learning with Fewer Tasks"

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