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I’m reading the paper Spectral Networks and Deep Locally Connected Networks on Graphs and I’m having a hard time understanding the notation shown in the picture below (the scribbles are mine): enter image description here

Specifically, I don’t understand the notation for the matrix F. Why does it include an i and a j?

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k is a fixed parameter indicating the input layer and i,j refer to the index of the matrix F , used to traverse throught the matrix.

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  • $\begingroup$ So I thought about that too, but then the summation goes up to $f_{k-1}$ (I.e the rows go up to this) yet they say that the matrix is $d_{k-1}$ by $d_{k-1}$. $\endgroup$ Jan 19 '21 at 8:48
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In case anyone was curious, I found my answer in the Appendix in this paper, which explains the notation better: Neural Message Passing for Quantum Chemistry

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