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1.I found the accuracies of node classification are only about 20% for all algorithms. But how to define "accuracy" of a muti-label dataset?
2.I remembered that if training:test = 9:1 then the F1-macro of deep walk should be around 0.28 in its paper...
Did I misunderstand something?
The text was updated successfully, but these errors were encountered:
1.I found the accuracies of node classification are only about 20% for all algorithms. But how to define "accuracy" of a muti-label dataset?
2.I remembered that if training:test = 9:1 then the F1-macro of deep walk should be around 0.28 in its paper...
Did I misunderstand something?
The text was updated successfully, but these errors were encountered: