LiSA: A linear graph transformer framework with sample aggregation

Qian Wang

doi:10.1016/j.knosys.2026.115905

2026-03-31

PRE

Qian Wang

Qingfeng Chen *

Shiyuan Li

Shirui Pan (Shirui Pan)

DOI：10.1016/j.knosys.2026.115905

原文链接

摘要

En 中文

• LiSA: 通过优化核函数的新型注意力机制；无需额外参数或复杂度即可提升性能。• 重新设计的核函数与softmax匹配；训练速度提升16.4%，且不损失精度。• 在8个数据集上优于14个基线方法；具备强噪声鲁棒性；适用于广泛的图神经网络。

Keyword:

LiSA

attention mechanism

graph neural networks

kernel optimization

sample aggregation

期刊

Knowledge-Based Systems

IF:

7.6

论文数:

1.3W

被引数:

4.5W

机构

Guangxi University

学者数:

4.1K

论文数: 1.3K

被引数: 3.2W

griffith university

学者数:

1.6K

论文数: 839

被引数: 0

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