Ze Ou
Ze Ou
I tried running the PPI dataset with the GraphSAGE [GitHub code](https://github.com/williamleif/GraphSAGE) by first running the unsupervised model and then the PPI logistic classificer, but it just outputs the F1 scores...
Definition of Done (First Draft): 1. Write a Jupyter Notebook for the experiment to replicate the PPI dataset result in Table 1 of the paper 2. Do the same thing...
Are there other ways to compare the results of the experiments other than F1 scores? Or is the F1 score what we are looking for?
Hi, I also tried to use `conda install -c stellargraph stellargraph` and only got version 0.10.0. I then tried `pip install stellargraph[demos]` but the package wasn't found.
> Hi, I download your code and tried the unsupervised training. When I run the ppi_eval.py strictly following the instructions, it output some F1 Score far different from the scores...