Comments (3)
Of course, you can directly pre-train and fine-tune on the same graph. The reason I adopt that in the experiment is to make the task harder and more realistic (in a real setting, we sometimes cannot see the fine-tuning data during pre-training).
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Since you mentioned BERT, mostly the pre-training corpus and the fine-tuning corpus of BERT will come from a different domains, but BERT still shows a really impressive generalization ability. This is the reason why we evaluate our model in the three different transfer settings. But of course, you can directly fine-tune on the same graph.
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I am very grateful for your prompt and patient answer.
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Related Issues (20)
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