Joint Node-Edge Network Embedding for Link Prediction

摘要

In this paper, we consider new formulation of graph embedding algorithm, while learning node and edge representation under common constraints. We evaluate our approach on link prediction problem for co-authorship network of HSE researchers' publications. We compare it with existing structural network embeddings and feature-engineering models.