Understanding s2v_mc

[pandalgo]

Hi, Thank you for sharing your code.

I am trying to understand how to write the equation for Q in s2v_mvc, given the additional auxiliary input. Following the notation in the paper, is it like this :

Where a^{T} is the auxiliary input and θ{8}_ is 3-dimensional. Am I right? If I am not, can you explain how to write the equation for s2v_mvc?

Thank you!

[Hanjun-Dai]

Yes a^T is the auxiliary input which can be node degree, coverage information, etc. There are some differences:

1. I guess in my implementation I simply concat a^T with the relu part (i.e., remove \theta_8)
2. the summation is over entire graph, instead of the neighborhood.