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Heterogeneous Node Classification

4 papers with code · Graphs
Subtask of Node Classification

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

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Heterogeneous Graph Attention Network

WWW 2019 2019 Jhy1993/HAN

With the learned importance from both node-level and semantic-level attention, the importance of node and meta-path can be fully considered.

GRAPH REPRESENTATION LEARNING HETEROGENEOUS NODE CLASSIFICATION

An Attention-based Graph Neural Network for Heterogeneous Structural Learning

19 Dec 2019didi/hetsann

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.

GRAPH EMBEDDING GRAPH REPRESENTATION LEARNING HETEROGENEOUS NODE CLASSIFICATION MULTI-TASK LEARNING

Heterogeneous Deep Graph Infomax

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

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

GRAPH REPRESENTATION LEARNING HETEROGENEOUS NODE CLASSIFICATION NODE CLUSTERING