In contrast to node2vec, our method allows us to additionally propagate information with respect to whether tweets composed by authors and their communities are abusive or not.
as labels are available for a subset of nodes in our graph (i.e., the tweet nodes), we frame the task as a graphbased semi-supervised learning problem, allowing the model to distribute gradient information from the supervised loss on the labeled tweet nodes.