The paper “Inductive Representation Learning on Large Graphs (Graphsage)” has an unsupervised loss function based on random walks (sec 3.2 and image below) that is similar to deepwalk and node2vec, I couldn’t find it anywhere.

Is there an implementation or a plan to implement this loss function in pytorch?

For instance, for a binary cross entropy loss function you just have to use : torch.nn.functional.binary_cross_entropy.

Is there a similar function for the loss of the authors of the section 3.2 ?

Thank you all !