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MetaPFS: Memory-efficient node classification on text-attributed graphs via meta-guided progressive feature selection

delete2025-12-10
delete0
PRE
AI
Y
Yuewei Zhou
L
Lina Ni
Z
Zhijie Qu
X
Xuqiang Li
J
Jinquan Zhang
Y
Yongquan Liang
DOI：10.1016/j.ipm.2025.104542delete
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摘要

摘要

En 中文
• 将特征冗余识别为使用PLMs进行TAG节点分类的主要瓶颈。 • 提出一种与特征无关的预热训练方法，在特征选择前注入全局语义先验。 • 提出渐进式特征锐化方法，以实现从软选择到硬选择的平滑且一致过渡。 • 提出一种基于虚拟任务正则化的元学习策略，以有效处理动态特征扰动。 • 提出 MetaPFS，在实现竞争性性能的同时具有极低的内存开销。

期刊

I
Information Processing and Management
IF:
6.9
论文数:
5.2K
被引数:
1.4W

机构

S
Shandong University of Science and Technology
学者数:
5.4K
论文数: 1.9K
被引数: 1.5W
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