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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.β€œcomputes the inverse ratio of the number of labeled nodes in the node 𝑣𝑖’s class πœ™(𝑣𝑖),Γπ‘£π‘—βˆˆV𝑙Yπ‘—πœ™(𝑣𝑖), to the total number of labeled nodes |V𝑙|.”My colleagues have different perceptions of this sentence, We want to know what exactly Γπ‘£π‘—βˆˆV𝑙Yπ‘—πœ™(𝑣𝑖) stands for?

2.why |V𝑙| and Γπ‘£π‘—βˆˆV𝑙Yπ‘—πœ™(𝑣𝑖) 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!!

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