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HSDP: Hypergraph and structure-aware representation learning for information diffusion prediction

delete2026-04-15
delete0
PRE
AI
W
Wang Zhang
W
Wenjun Wang *
X
Xuan Guo
T
Tianpeng Li
M
Minglai Shao
DOI：10.1016/j.patcog.2026.113732delete
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摘要

摘要

En 中文
• 我们提出了一种超图结构感知框架，将双图自编码和超图建模统一应用于信息扩散预测。• 该模型捕捉了结构异质性和级联依赖关系，通过门控融合和序列建模来自适应地平衡多种表示。• 在四个真实数据集上的实验表明，HSDP模型始终优于现有最先进基线方法，并通过消融分析和超参数分析得到验证。
Keyword:
hypergraph modeling
information diffusion prediction
dual graph auto-encoding
structural heterogeneity
gated fusion

期刊

Pattern Recognition 封面图
Pattern Recognition
IF:
7.6
论文数:
1.3W
被引数:
4.5W

机构

T
Tianjin University
学者数:
4.7K
论文数: 1.7K
被引数: 8.5W
T
tianjin university
学者数:
8.0W
论文数: 5.8W
被引数: 88
引用论文

引用论文

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