Anybody ever done a custom pytorch.data.InMemoryDataset for a spark GraphFrame (or rather Pyspark DataFrames? Looked for people that have done it already but didn't find anything on GitHub/Stackoverflow et cetera and I have little knowledge of pytorch geometric as of right now. Thankful for code samples, tips or matching links :)
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You cannot run gcn on spark as of now. So PyTorch geometric doesn't support spark based training.
Vedthedataguy
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