GraphGAN
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pretrained embeddings
Can you introduce the strategy for generating pre-trained embeddings and its effect on the results? If we adopt a random or gaussian strategy to initalize the embedding, can the current model get the similar results?
Please refer to the discussion in https://github.com/hwwang55/GraphGAN/issues/8. Thanks.