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Question about Unsupervised_TU #57
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Hi @junkangwu, Please refer to sec. 4.3 summary https://proceedings.neurips.cc/paper/2020/file/3fe230348e9a12c13120749e3f9fa4cd-Paper.pdf where we determine rules of thumb for aug selections. |
@yyou1996 , As the setting in Unsupervised_TU, GraphCL adopts the above rules of thumb for aug selections and multiple run with mean & std at 20th epoch are reported. I understand right? |
Hi @yyou1996, |
Hi @junkangwu, Sry for the delay. I come and check in on a weekly base. For Q1 yes you understand correctly. For Q2, I reply to you in the email and post here for others' interests. |
@yyou1996 hi, yuning,
May I ask you about details about experiments? In readme, your said
$GPU_ID
is the lanched GPU ID and$AUGMENTATION
could berandom2, random3, random4
that sampling from {NodeDrop, Subgraph}, {NodeDrop, Subgraph, EdgePert} and {NodeDrop, Subgraph, EdgePert, AttrMask}, seperately. So the result in paper leverages random2 to random4 repeatly as multiple run with mean & std reported is performed in your paper?The text was updated successfully, but these errors were encountered: