Open mr-xiao-zuo opened 3 years ago
In the article, why is the template vector h_t multiplied by a_i,j, and what is the meaning of the resulting V_i?
As you know, a_i,j is a correlation score, the more similar the nodes are, the higher the score is. The aggregated feature V_i can implicitly convey whether the node i belongs to the foreground or not.
In the article, why is the template vector h_t multiplied by a_i,j, and what is the meaning of the resulting V_i?