Concerns w.r.t. FedStar

[tdye24]

Hi, I really appreciate the work, sharing domain-invariant structure knowledge. I have some concerns. Although it can be seen from the ablation experiments that sharing structure encoder can indeed bring some benefits, it seems that most of the performance gains come from the decoupling mechanism[1]. In addition, the comparison with the baselines in the experiment is a bit unfair as the decoupling brings too many additional parameters compared to FedAvg.

[1] Graph Neural Networks with Learnable Struc- tural and Positional Representations

[kennencool]

Hello, I share your concerns. I did some tentative experiments to imitate the part of Table 2 in the paper work[1], what come to the same conclusion you did. It seems that most of the performance gains come from the decoupling mechanism. If there is a chance, we can communicate, appreciate it a lot.

[1] Graph Neural Networks with Learnable Structural and Positional Representations

[xiaxiaxiatengxi]

我比较好奇，他这个工作，为什么会有多张图呢？ 按理说每一个用户的图结构不应该是一种吗？如果是多张图，比如分子信息结构……那不是和Fed+CV里的图片一样吗