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Can we parallelize this graph.build_deepwalk_corpus so that we could generate multiple walks parallelly?
This would bring a good speedup if we have to generate large numbers of walks?. Also, we could see if we could use previous walks (sub part) for generation of new walks.
The text was updated successfully, but these errors were encountered:
Some of this functionality exists. Arguments --workers and --max-memory-data-size allow control of parallel walk generation, and dumping the walks to disk.
Reusing existing walks would only be a small change - see how this code loads walks from disk.
Hi,
Can we parallelize this graph.build_deepwalk_corpus so that we could generate multiple walks parallelly?
This would bring a good speedup if we have to generate large numbers of walks?. Also, we could see if we could use previous walks (sub part) for generation of new walks.
The text was updated successfully, but these errors were encountered: