Heterogeneous Node Classification

3 papers with code • 1 benchmarks • 1 datasets

Node classification in heterogeneous graphs, where nodes and/or edges have multiple types.


Most implemented papers

Heterogeneous Deep Graph Infomax

YuxiangRen/Heterogeneous-Deep-Graph-Infomax 19 Nov 2019

The derived node representations can be used to serve various downstream tasks, such as node classification and node clustering.

An Attention-based Graph Neural Network for Heterogeneous Structural Learning

didi/hetsann 19 Dec 2019

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.