Smoothness Really Matters: A Simple yet Effective Approach for Unsupervised Graph Domain Adaptation

Cite

Text

Chen et al. "Smoothness Really Matters: A Simple yet Effective Approach for Unsupervised Graph Domain Adaptation." AAAI Conference on Artificial Intelligence, 2025. doi:10.1609/AAAI.V39I15.33743

Markdown

[Chen et al. "Smoothness Really Matters: A Simple yet Effective Approach for Unsupervised Graph Domain Adaptation." AAAI Conference on Artificial Intelligence, 2025.](https://mlanthology.org/aaai/2025/chen2025aaai-smoothness/) doi:10.1609/AAAI.V39I15.33743

BibTeX

@inproceedings{chen2025aaai-smoothness,
  title     = {{Smoothness Really Matters: A Simple yet Effective Approach for Unsupervised Graph Domain Adaptation}},
  author    = {Chen, Wei and Ye, Guo and Wang, Yakun and Zhang, Zhao and Zhang, Libang and Wang, Daixin and Zhang, Zhiqiang and Zhuang, Fuzhen},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2025},
  pages     = {15875-15883},
  doi       = {10.1609/AAAI.V39I15.33743},
  url       = {https://mlanthology.org/aaai/2025/chen2025aaai-smoothness/}
}