HGNN-QSSA: Heterogeneous Graph Neural Networks With Quantitative Sampling and Structure-Aware Attention

HGNN-QSSA: Heterogeneous Graph Neural Networks With Quantitative Sampling and Structure-Aware Attention

Heterogeneous information networks provide abundant structural and semantic information. Two main strategies for leveraging this data include meta-path-based and meta-path-free methods. The effectiveness of the former heavily depends on the quality of manually defined meta-paths, which may lead to t...

Full description

Bibliographic Details
Main Authors: Qin Zhao, Yaru Miao, Dongdong An, Jie Lian, Maozhen Li
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Heterogeneous information network
community detection
quantitative sampling
structure-aware attention
Online Access:https://ieeexplore.ieee.org/document/10436681/

Internet

https://ieeexplore.ieee.org/document/10436681/

Similar Items