DRGCL

Pytorch implementation for Rethinking Dimensional Rationale in Graph Contrastive Learning from Causal Perspective

Qirui Ji*, Jiangmeng Li*, Jie Hu, Rui Wang, Changwen Zheng, Fanjiang Xu

Citation

If you use this code for your research, please cite our paper.

@inproceedings{DBLP:conf/aaai/JiLHWZX24,
  author       = {Qirui Ji and
                  Jiangmeng Li and
                  Jie Hu and
                  Rui Wang and
                  Changwen Zheng and
                  Fanjiang Xu},
  editor       = {Michael J. Wooldridge and
                  Jennifer G. Dy and
                  Sriraam Natarajan},
  title        = {Rethinking Dimensional Rationale in Graph Contrastive Learning from
                  Causal Perspective},
  booktitle    = {Thirty-Eighth {AAAI} Conference on Artificial Intelligence, {AAAI}
                  2024, Thirty-Sixth Conference on Innovative Applications of Artificial
                  Intelligence, {IAAI} 2024, Fourteenth Symposium on Educational Advances
                  in Artificial Intelligence, {EAAI} 2014, February 20-27, 2024, Vancouver,
                  Canada},
  pages        = {12810--12820},
  publisher    = {{AAAI} Press},
  year         = {2024},
  url          = {https://doi.org/10.1609/aaai.v38i11.29177},
  doi          = {10.1609/AAAI.V38I11.29177},
  timestamp    = {Tue, 02 Apr 2024 16:32:09 +0200},
  biburl       = {https://dblp.org/rec/conf/aaai/JiLHWZX24.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}