yuetan031 / fedstar Goto Github PK

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

When running your given example running code such as python exps/main_multiDS.py --repeat 1 --data_group 'chem' --seed 1 --alg fedstar --type_init 'rw_dg', the terminal returns
Segmentation fault (core dumped)
or

 terminate called after throwing an instance of 'std::bad_alloc'
  what():  std::bad_alloc
Aborted (core dumped)