Progressive alternating attribute-Structure optimization for multiplex heterogeneous graphs

Haochang Hao

doi:10.1016/j.eswa.2026.131495

2026-02-03

PRE

Haochang Hao

Jun Huang

Shuzhen Rao

DOI：10.1016/j.eswa.2026.131495

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摘要

En 中文

• 提出了一种用于结构精炼和属性补全的交替框架。 • 提出了由属性相似性引导的动态结构学习方法。 • 设计了一种具有可学习跳数特定权重的多跳属性补全方案。 • 采用渐进式交替训练策略，以稳定两种视图的协同优化。 • 在四个真实异构图数据集上取得了当前最优的结果。

Keyword:

attribute completion

structure refinement

heterogeneous graphs

multi-hop scheme

alternating optimization

期刊

Expert Systems with Applications

IF:

7.5

论文数:

3.0W

被引数:

10.2W

机构

Shanghai Advanced Research Institute

学者数:

511

论文数: 327

被引数: 1.1W

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