Is blogCatalog_embedding.mat training on the optimized parameters?

[jm-huang]

I run check_multi_label_classification() on blogCatalog_embedding.mat, but i can't get the results shown in paper. Is that i doing something wrong?

My code logic:

1. load embeddingResult/blogCatalog_embedding.mat using scipy.io
2. load node labels from file GraphData/blogCatalog3-groups.txt
3. feed node embedding and labels into function check_multi_label_classification()

the results is about 10 points less than reported in the paper.

[suanrong]

You can retrain the model. The blogCatalog_embedding.mat may be a good result for network reconstruction, not for classification. I am not sure about that.