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View Code? Open in Web Editor NEWPyTorch implementation of "Scalable Graph Neural Networks via Bidirectional Propagation"
PyTorch implementation of "Scalable Graph Neural Networks via Bidirectional Propagation"
Hi Ming:
So happy to see your code about GBP, I am trying to repeat the experiment in the friendster. However, there is no guide for the preprocessing with codes in the convert document. So Would you mind demonstrate the process and help me to generate data for that?
For the BackwardPush function in base.h, the code seems only perform backward push only for negative features.
Line 154 in f811fc2
with convert/fri_feat.py
we can get friendster's features, with convert/fri_adjmapping.cpp
and convert/fri_adjtxt2npy.py
we can get friendster's adjacent matrix. But you do not provided a script to get friendster's labels, or friendster_labels.npz
, which is needed before training:
Line 43 in f811fc2
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