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View Code? Open in Web Editor NEWWe will keep updating the paper list about machine learning + causal theory. We also internally discuss related papers between NExT++ (NUS) and LDS (USTC) by week.
We will keep updating the paper list about machine learning + causal theory. We also internally discuss related papers between NExT++ (NUS) and LDS (USTC) by week.
Dear authors,
Thank you for providing this great reading group on causality. I have been watching this repo for quite a long time.
I want to share one good news that we have one paper accepted by ICML2021, talking about generating causal explanations for GNNs https://arxiv.org/abs/2104.06643 😄.
您好,最近我读了您所写的论文《Should Graph Convolution Trust Neighbors? A Simple Causal Inference Method》,对其中的想法十分感兴趣,希望能够通过您的代码更加深入的学习。但是我在谷歌和github上,并没有找到对应的代码。由于才刚入门,我还没能力复现这篇文章的代码,所以请求您发我一份完整可以运行的代码,比如APPNP_AdaInf这个模型的代码,让我可以直观的、更深入的了解这方面的知识。十分感谢您,期待您的回复!
Hi, we have a paper accepted by CVPR 2022 and was selected as an oral presentation. Here are the paper link and code:
source code: https://github.com/WanyuGroup/CVPR2022-OrphicX
paper url: https://wanyu-lin.github.io/assets/publications/wanyu-cvpr2022.pdf
您好,
我是Causality 方向新人, 在找 论文的时候看到了你们的 reading group, 我非常感兴趣. 请问我是否可以参加你们的活动? 如果可以, 应该如何参加? 谢谢.
期待回复.
Best
Ying
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