Heterogeneous Node Classification
4 papers with code • 1 benchmarks • 1 datasets
Node classification in heterogeneous graphs, where nodes and/or edges have multiple types.
The task of classifying multi-relational data spans a wide range of domains such as document classification in citation networks, classification of emails, and protein labeling in proteins interaction graphs.
In this paper, we focus on graph representation learning of heterogeneous information network (HIN), in which various types of vertices are connected by various types of relations.