Heterogeneous Node Classification
3 papers with code • 1 benchmarks • 1 datasets
Node classification in heterogeneous graphs, where nodes and/or edges have multiple types.
Benchmarks
These leaderboards are used to track progress in Heterogeneous Node Classification
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DBLP
Most implemented papers
Heterogeneous Deep Graph Infomax
YuxiangRen/Heterogeneous-Deep-Graph-Infomax
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The derived node representations can be used to serve various downstream tasks, such as node classification and node clustering.
Non-local Attention Learning on Large Heterogeneous Information Networks
xiaoyuxin1002/NLAH
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2019 IEEE International Conference on Big Data (Big Data) 2019
In this way, it leverages both local and non-local information simultaneously.
An Attention-based Graph Neural Network for Heterogeneous Structural Learning
didi/hetsann
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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.
