It can be regarded as special cases of a simple differentiable message-passing framework (Gilmer et al., 2017): where h is the hidden state of node v i in the l-th layer of the neural network, with d (l) as the dimensionality of representation at layer l. N (i) is the set of direct neighbors of node v i (usually also include itself).
since the text and social representation use the same space, user bias information can be propagated to the document representation, acting as a distant supervision source.