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2 changes: 1 addition & 1 deletion g3doc/framework.md
Original file line number Diff line number Diff line change
Expand Up @@ -15,7 +15,7 @@ Convolutional NNs and Recurrent NNs).

Note that the generalized neighbor loss equation is flexible and can have other
forms besides the one illustrated above. For example, we can also select
\\(\sum_{x_j \in \mathcal{N}(x_i)}\mathcal{E}(y_i,g_\theta(x_j)\\) to be the
\\(\sum_{x_j \in \mathcal{N}(x_i)}\mathcal{E}(y_i,g_\theta(x_j))\\) to be the
neighbor loss, which calculates the distance between the ground truth \\(y_i\\)
and the prediction from the neighbor \\(g_\theta(x_j)\\). This is commonly used
in adversarial learning
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