Heterogeneous Node Classification

4 papers with code • 1 benchmarks • 1 datasets

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


Most implemented papers

Multi-Relational Classification via Bayesian Ranked Non-Linear Embeddings

ahmedrashed-ml/BRNLE The 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD ’19) 2019

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.

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.