ReAHGN: Adaptive Heterogeneous Graph Neural Network With Relation-Aware Embedding

Heterogeneous graph neural networks (HGNs) have attracted more and more attention recently due to their wide applications such as node classification, community detection, and recommendation. Significant progress has been made by graph neural networks. However, we argue that attention mechanisms tha...

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Bibliografiska uppgifter

Huvudupphov:	Xiaoyu Zhu, Xinzhe Yu, Enze Zha, Shiyang Lin
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	IEEE 2025-01-01
Serie:	IEEE Access
Ämnen:	Graph neural network heterogeneous graph neural networks graph representation learning
Länkar:	https://ieeexplore.ieee.org/document/10918934/
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