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EGI is a two-stage model, thus you can dump the best embedding model and the best classifier seperately while training on source graph, then you can load target graph and apply the dumpled models to it :)
Hi GentleZhu,
I found that the code does not handle the scenario when data-id and data-src are different. I am not sure whether I miss any key part in the code.
Thanks and Regards,
PonderLY
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