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The different results of unsupervised training on TU dataset. #8

@ZJUDataIntelligence

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@ZJUDataIntelligence

When I reproduced your code, I ran the un_exp part of the code and got a result, which is the first line in the table below. This is the result I got when I found that your masking option for node features was False. Then I changed the node feature masking option to True and got the second line of results. The third line is the result in your paper. It’s strange why the variance of the first two lines of results is so large, and why the line without node masking has higher results than others.

  MUTAG PROTEINS REDDIT-B DD IMDB-B NCI1 COLLAB REDDIT-M-5K
no-mask 90.99±7.80 76.37±3.26 90.30±1.99 78.53±3.58 73.90±3.33 82.34±1.16 72.18±2.07 56.69±1.63
mask 89.88±5.57 76.83±3.36 88.55±2.47 77.42±3.18 72.70±4.36 82.63±1.72 70.64±1.59 56.41±2.28
paper 88.64±1.08 75.80±0.36 88.58±1.49 77.57±0.60 73.30±0.40 82.00±0.29 70.12±0.68 56.75±0.18

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