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Representation learning on large graphs using stochastic graph convolutions.

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I note that in your code, there is a problem path parameter. What does this mean? And how to get this worked? Thanks.

Need to implement: - [ ] method to generate context pairs - [ ] edge sampler - [ ] triplet loss model

How do you run train.py for ppi? What file is needed for the argument "--problem-path" so I can run it? Also for reddit because the h5 files are not working...