.png){kind=icon}
返回
Multi-view Heterogeneous Graph Neural Networks for Node Classification
.png){kind=icon}
OA
AI
DOI：10.1007/s41019-024-00253-y.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Recently, with graph neural networks (GNNs) becoming a powerful technique for graph representation, many excellent GNN-based models have been proposed for processing heterogeneous graphs, which are termed Heterogeneous graph neural networks (HGNNs). However, existing HGNNs tend to aggregate information from either direct neighbors or those connected by short metapaths, thereby neglecting the higher-order information and global feature similarity information in heterogeneous graphs. In this paper, we propose a Multi-View Heterogeneous graph neural network (MV-HGNN) to aggregate these information. Firstly, two auxiliary views, specifically a global feature similarity view and a graph diffusion view, are generated from the original heterogeneous graph. Secondly, MV-HGNN performs two message-passing strategies to get the representation of different views. Subsequently, a transformer-based aggregator is used to get the semantic information. Subsequently, the representations of the three views are fused into a final composite representation. We evaluate our method on the node classification task over three commonly used heterogeneous graph datasets, and the results demonstrate that our proposed MV-HGNN significantly outperforms state-of-the-art baselines.
Keyword:
Heterogeneous graphs
Node classification
Multi-view representation
Graph diffusion
期刊
D
IF:
4.6
论文数:
251
被引数:
665
机构
引用论文
Formylglycinamide Ribonucleotide Amidotransferase from Thermotoga maritima: Structural Insights into Complex Formation.png)
Biochemistry
OAAI
BiochemistryIF0
OAAI分享收藏Generalized Graph Neural Network-Based Detection of False Data Injection Attacks in Smart Grids基于广义图神经网络的智能电网中虚假数据注入攻击检测
PREAI
分享收藏Tectonothermal chronology of early Cadomian arc development in Guernsey and Sark, Channel Islands
PREAI
分享收藏A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources异构图嵌入综述: 方法、技术、应用和来源OAAI
OAAI分享收藏
查看更多内容