Heterogeneous graphs organize data with nodes and edges, and have been widely used in various graph-centric applications. Often, some data are omitted during manual construction, leading to data ...

Heterogeneous graph representation learning seeks to map complex networks containing multiple types of nodes and relations into low-dimensional vector spaces while preserving semantic, structural and, ...