RoSA: A Robust Self-Aligned Framework for Node-Node Graph Contrastive Learning

Zhu et al. "RoSA: A Robust Self-Aligned Framework for Node-Node Graph Contrastive Learning." International Joint Conference on Artificial Intelligence, 2022. doi:10.24963/IJCAI.2022/527

[Zhu et al. "RoSA: A Robust Self-Aligned Framework for Node-Node Graph Contrastive Learning." International Joint Conference on Artificial Intelligence, 2022.](https://mlanthology.org/ijcai/2022/zhu2022ijcai-rosa/) doi:10.24963/IJCAI.2022/527

@inproceedings{zhu2022ijcai-rosa,
  title     = {{RoSA: A Robust Self-Aligned Framework for Node-Node Graph Contrastive Learning}},
  author    = {Zhu, Yun and Guo, Jianhao and Wu, Fei and Tang, Siliang},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2022},
  pages     = {3795-3801},
  doi       = {10.24963/IJCAI.2022/527},
  url       = {https://mlanthology.org/ijcai/2022/zhu2022ijcai-rosa/}
}