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Looking forward to your reply!!
Hello Dr. Wang, I am re-reading your paper intensively. I have encountered some problems in the explanation part of formula (9). I would like to ask you to solve confusion.
1.βcomputes the inverse ratio of the number of labeled nodes in the node π£πβs class π(π£π),Γπ£πβVπYππ(π£π), to the total number of labeled nodes |Vπ|.βMy colleagues have different perceptions of this sentence, We want to know what exactly Γπ£πβVπYππ(π£π) stands for?
2.why |Vπ| and Γπ£πβVπYππ(π£π) are inversely ratio, Shouldn't they be proportional when the weighting factors are given?
3.Then this part also talks about the network homogeneity can expand the training data, I would like to ask you whether it is achieved by formula 12?
Sorry to bother you, looking forward to your reply!!
Dear author, I would like to ask a question about the data setοΌ
In the process of running the code, I found that the DE, EN, ES....
I donβt know which data sets these names replace.
Could you please answer in your busy schedule?
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