Thank you very much for maintaining this amazing causality algorithm list!
We recently published a paper about learning causal representations on graphs in NeurIPS'22, which has obtained state-of-the-art performance on 30 datasets with various graph distribution shifts (still keep updating, more details are provided in our code repo). The first version of the work was released earlier as in arXiv 2202.05441. We think it would be a good fit for the list and would appreciate it if you could add our paper to this awesome list! 😆😆
rguo12
commented
1 year ago
Dear Dr. Guo,
Thank you very much for maintaining this amazing causality algorithm list!
We recently published a paper about learning causal representations on graphs in NeurIPS'22, which has obtained state-of-the-art performance on 30 datasets with various graph distribution shifts (still keep updating, more details are provided in our code repo). The first version of the work was released earlier as in arXiv 2202.05441. We think it would be a good fit for the list and would appreciate it if you could add our paper to this awesome list! 😆😆
Best regards Yongqiang (Andrew) Chen