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Fairness-Aware Influence Blocking Maximization: A Centrality-Enhanced Adversarial Graph Embedding Framework

delete2026-01-16
delete0
PRE
AI
Y
Yu Xiao
L
Lan Yang
D
Ding Liu
Z
Zhiwu Li
DOI：10.1016/j.eswa.2026.131192delete
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摘要

摘要

En 中文
• 提出了一种公平性感知框架，用于有效影响阻断。 • 采用对抗图嵌入来缓解社区级偏见。 • 该框架不依赖于预定义的传播模型假设。 • 种子选择同时考虑了图中心性和谣言接近度。 • 该策略在跨社区中实现了有效且公平的阻断。

期刊

Expert Systems with Applications 封面图
Expert Systems with Applications
IF:
7.5
论文数:
3.0W
被引数:
10.2W

机构

X
xidian university
学者数:
6.6K
论文数: 2.2K
被引数: 0
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