Improved Deep Embeddings for Inferencing with Multi-Layered Graphs

Inferencing with graph data necessitates the mapping of its nodes into a vector space, where the relationships are preserved. However, with multi-layered graphs, where multiple types of relationships exist for the same set of nodes, it is crucial to exploit the information shared between layers, in addition to the distinct aspects of each layer. In this paper, we propose a novel approach that first obtains node embeddings in all layers jointly...