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Apr, 2023
异质图的属性多阶图卷积网络
Attributed Multi-order Graph Convolutional Network for Heterogeneous Graphs
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Zhaoliang Chen, Zhihao Wu, Luying Zhong, Claudia Plant, Shiping Wang...
TL;DR
本篇论文主要介绍了一种基于AMOGCN的异构图神经网络,该方法可以学习具有区分度的节点嵌入和关系,并能够自动地构建元路径来影响嵌入的质量,从而提高半监督分类性能。
Abstract
heterogeneous graph neural networks
aim to discover discriminative
node embeddings
and relations from multi-relational networks.One challenge of heterogeneous graph learning is the design of learnable
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