Heterogeneous Node Classification
3 papers with code • 1 benchmarks • 2 datasets
Node classification in heterogeneous graphs, where nodes and/or edges have multiple types.
Latest papers
An Attention-based Graph Neural Network for Heterogeneous Structural Learning
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.
Non-local Attention Learning on Large Heterogeneous Information Networks
In this way, it leverages both local and non-local information simultaneously.
Heterogeneous Deep Graph Infomax
The derived node representations can be used to serve various downstream tasks, such as node classification and node clustering.